Triple
T15019881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last Exit to Brooklyn |
E378055
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Harry Black |
E550549
|
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: Harry Black | Statement: [Last Exit to Brooklyn, mainCharacter, Harry Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Black Context triple: [Last Exit to Brooklyn, mainCharacter, Harry Black]
-
A.
Harry Black
chosen
Harry Black is a film associated with Indian actor, director, and satirist I. S. Johar, reflecting his work in mid-20th-century cinema.
-
B.
Robert Black
Robert Black is a relatively common personal name shared by multiple notable individuals across fields such as music, literature, and law.
-
C.
Neville Garrick
Neville Garrick was a Jamaican graphic artist and photographer best known for creating iconic album artwork and stage designs for Bob Marley and other reggae musicians.
-
D.
Harry Lockhart
Harry Lockhart is a small-time thief-turned-accidental actor who narrates and bumbles his way through a darkly comic murder mystery in the film "Kiss Kiss Bang Bang."
-
E.
Harry Goode
Harry Goode was a pioneering computer scientist and engineer recognized for his influential contributions to the early development of information processing and systems engineering.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded76445988190984b57de66e00c4a |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd078e481908ec78db57541fc4c |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:56 a.m.