Triple
T8566728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabey |
E202820
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Adolph Green |
E71773
|
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: Adolph Green | Statement: [Gabey, createdBy, Adolph Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adolph Green Context triple: [Gabey, createdBy, Adolph Green]
-
A.
Adolph Green
chosen
Adolph Green was an American playwright, lyricist, and screenwriter best known for his long collaboration with Betty Comden on classic Broadway musicals and Hollywood films.
-
B.
Otto Hunte
Otto Hunte was a prominent German film art director and production designer best known for his influential work on classic Weimar-era films, including Fritz Lang’s Metropolis.
-
C.
Lewis Allen
Lewis Allen was a local figure of significance after whom the city of Allen Park, Michigan, was named.
-
D.
Lewis Allen
Lewis Allen was a British-born film and television director best known for his atmospheric work in mid-20th-century Hollywood cinema.
-
E.
Charles Bickford
Charles Bickford was an American character actor known for his rugged screen presence and acclaimed supporting roles in numerous classic Hollywood films.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d467c08190b2014d71ebbf8bbc |
completed | March 31, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42459a048190a5c480f4a212607a |
completed | April 3, 2026, 4:29 a.m. |
Created at: March 30, 2026, 6:20 p.m.