Triple
T2124692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WALL-E |
E46399
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Stephen Schaffer
Stephen Schaffer is a film editor best known for his work on major animated features, including Pixar's acclaimed movie WALL-E.
|
E240007
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Stephen Schaffer | Statement: [WALL-E, editedBy, Stephen Schaffer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Schaffer Context triple: [WALL-E, editedBy, Stephen Schaffer]
-
A.
Stephen Endlicher
Stephen Endlicher was a 19th-century Austrian botanist and linguist known for his influential work in plant taxonomy and classification.
-
B.
David Weisbart
David Weisbart was an American film editor and producer best known for his work on influential mid-20th-century Hollywood dramas and youth-oriented films.
-
C.
Stephen F. Martin
Stephen F. Martin is an American organic chemist renowned for his influential research in synthetic methodology and complex molecule synthesis.
-
D.
David S. Kaufman
David S. Kaufman was a 19th-century Texas politician and statesman who served as a U.S. Congressman and played a significant role in the early political development of Texas.
-
E.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stephen Schaffer Triple: [WALL-E, editedBy, Stephen Schaffer]
Generated description
Stephen Schaffer is a film editor best known for his work on major animated features, including Pixar's acclaimed movie WALL-E.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen Schaffer Target entity description: Stephen Schaffer is a film editor best known for his work on major animated features, including Pixar's acclaimed movie WALL-E.
-
A.
Stephen Endlicher
Stephen Endlicher was a 19th-century Austrian botanist and linguist known for his influential work in plant taxonomy and classification.
-
B.
David Weisbart
David Weisbart was an American film editor and producer best known for his work on influential mid-20th-century Hollywood dramas and youth-oriented films.
-
C.
Stephen F. Martin
Stephen F. Martin is an American organic chemist renowned for his influential research in synthetic methodology and complex molecule synthesis.
-
D.
David S. Kaufman
David S. Kaufman was a 19th-century Texas politician and statesman who served as a U.S. Congressman and played a significant role in the early political development of Texas.
-
E.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb55cb2c8190aab8199da3335032 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58cf2a588190a59dc1ae5d684538 |
completed | March 9, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69ae599c6b288190b7e173ffc505c605 |
completed | March 9, 2026, 5:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5a42675c8190a019034e8a6bda21 |
completed | March 9, 2026, 5:27 a.m. |
Created at: March 4, 2026, 7:44 p.m.