Triple
T2139795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toy Story 2 |
E46735
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Chris Webb
Chris Webb is a screenwriter known for his work on the acclaimed animated film "Toy Story 2."
|
E237528
|
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: Chris Webb | Statement: [Toy Story 2, writer, Chris Webb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Webb Context triple: [Toy Story 2, writer, Chris Webb]
-
A.
Martin Smith
Martin Smith was the son of English composer John Stafford Smith, best known for writing the melody that became the United States national anthem.
-
B.
Rob Carpenter
Rob Carpenter is a former NFL running back best known for his productive stints with the Houston Oilers and New York Giants in the late 1970s and early 1980s.
-
C.
Charles Hudson
Charles Hudson was a 19th-century British mountaineer and Anglican clergyman known for his pioneering ascents in the Alps.
-
D.
Mark Gardner
Mark Gardner is a name shared by several notable individuals, including a former Major League Baseball pitcher and a professional ice hockey coach.
-
E.
Jason Clark
Jason Clark is a television and film producer best known for his work on science-themed documentary series such as "Cosmos: Possible Worlds."
- 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: Chris Webb Triple: [Toy Story 2, writer, Chris Webb]
Generated description
Chris Webb is a screenwriter known for his work on the acclaimed animated film "Toy Story 2."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chris Webb Target entity description: Chris Webb is a screenwriter known for his work on the acclaimed animated film "Toy Story 2."
-
A.
Martin Smith
Martin Smith was the son of English composer John Stafford Smith, best known for writing the melody that became the United States national anthem.
-
B.
Rob Carpenter
Rob Carpenter is a former NFL running back best known for his productive stints with the Houston Oilers and New York Giants in the late 1970s and early 1980s.
-
C.
Charles Hudson
Charles Hudson was a 19th-century British mountaineer and Anglican clergyman known for his pioneering ascents in the Alps.
-
D.
Mark Gardner
Mark Gardner is a name shared by several notable individuals, including a former Major League Baseball pitcher and a professional ice hockey coach.
-
E.
Jason Clark
Jason Clark is a television and film producer best known for his work on science-themed documentary series such as "Cosmos: Possible Worlds."
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbe025d3c81908bcb33a7ff09eae8 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51b37ce08190add9df46cc17ba89 |
completed | March 9, 2026, 4:50 a.m. |
| NEDg | Description generation | batch_69ae52e539f081908424c4093c125861 |
completed | March 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5357e1088190bcffccb37030f3fc |
completed | March 9, 2026, 4:58 a.m. |
Created at: March 4, 2026, 7:44 p.m.