Triple
T4192980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spider-Man 3 |
E89077
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Alvin Sargent |
E404645
|
NE FINISHED |
How this triple was built (2 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: Alvin Sargent | Statement: [Spider-Man 3, storyBy, Alvin Sargent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alvin Sargent Context triple: [Spider-Man 3, storyBy, Alvin Sargent]
-
A.
Alvin Sargent
chosen
Alvin Sargent was an American screenwriter best known for his Oscar-winning work on films like "Julia" and "Ordinary People" and for co-writing several "Spider-Man" movies.
-
B.
Frank Sargent
Frank Sargent was a prominent Canadian ice hockey administrator best known for his influential leadership within the country’s amateur hockey system.
-
C.
Cliff Hagan
Cliff Hagan is an American Hall of Fame basketball player best known for his scoring prowess with the St. Louis Hawks and later as a player-coach in the ABA.
-
D.
Lloyd Hubler
Lloyd Hubler is a cinematographer best known for his work on the animated film "Megamind."
-
E.
Alvin Adams
Alvin Adams was a 19th-century American entrepreneur best known for founding Adams Express Company, one of the earliest and most influential express shipping firms in the United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed9569a4481908b6c1fcec2a11e21 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0342c6048190835631649a14d304 |
completed | March 9, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee05440cc8190b0ab8d0c0811899b |
completed | March 21, 2026, 6:15 p.m. |
Created at: March 9, 2026, 3:46 p.m.