Triple
T173175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Society |
E3520
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Charles Walters
Charles Walters was an American film director and choreographer best known for his work on classic MGM musicals in the mid-20th century.
|
E67570
|
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: Charles Walters | Statement: [High Society, director, Charles Walters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Walters Context triple: [High Society, director, Charles Walters]
-
A.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
-
B.
Douglas Kirk
Douglas Kirk is an individual notable enough to be recognized as a prominent bearer of the surname Kirk.
-
C.
George L. Dahl
George L. Dahl was a prominent 20th-century American architect known for shaping much of Dallas’s skyline and major civic landmarks.
-
D.
Andrew Heiskell
Andrew Heiskell was an American publishing executive and philanthropist best known as a longtime leader of Time Inc. and a prominent figure in New York’s cultural and civic life.
-
E.
John Gilroy
John Gilroy is a film editor known for his work on major Hollywood productions, including the science-fiction monster film "Pacific Rim."
- 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: Charles Walters Triple: [High Society, director, Charles Walters]
Generated description
Charles Walters was an American film director and choreographer best known for his work on classic MGM musicals in the mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charles Walters Target entity description: Charles Walters was an American film director and choreographer best known for his work on classic MGM musicals in the mid-20th century.
-
A.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
-
B.
Douglas Kirk
Douglas Kirk is an individual notable enough to be recognized as a prominent bearer of the surname Kirk.
-
C.
George L. Dahl
George L. Dahl was a prominent 20th-century American architect known for shaping much of Dallas’s skyline and major civic landmarks.
-
D.
Andrew Heiskell
Andrew Heiskell was an American publishing executive and philanthropist best known as a longtime leader of Time Inc. and a prominent figure in New York’s cultural and civic life.
-
E.
John Gilroy
John Gilroy is a film editor known for his work on major Hollywood productions, including the science-fiction monster film "Pacific Rim."
- 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_69a25374990081909766d30c79a18e0e |
completed | Feb. 28, 2026, 2:31 a.m. |
| NER | Named-entity recognition | batch_69a258e1ec008190a89dd452f72574f4 |
completed | Feb. 28, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4c6698344819084b55d4a50408e5d |
completed | March 1, 2026, 11:06 p.m. |
| NEDg | Description generation | batch_69a4c84803b88190b30c3ca3b56d4cf5 |
completed | March 1, 2026, 11:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4c8d855b8819080443e32b64e65f4 |
completed | March 1, 2026, 11:16 p.m. |
Created at: Feb. 28, 2026, 2:39 a.m.