Triple
T14877544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donal Logue |
E349905
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | Harvey Bullock |
E607519
|
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: Harvey Bullock | Statement: [Donal Logue, playedCharacter, Harvey Bullock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harvey Bullock Context triple: [Donal Logue, playedCharacter, Harvey Bullock]
-
A.
Harvey Bullock
chosen
Harvey Bullock is a gruff, streetwise Gotham City police detective often portrayed as morally ambiguous yet ultimately loyal to justice in the Batman universe.
-
B.
Dedalus Diggle
Dedalus Diggle is a minor wizarding character in the Harry Potter series, known as an enthusiastic supporter of Albus Dumbledore and the fight against Voldemort.
-
C.
James Gordon
James Gordon is Gotham City's principled police commissioner and a key ally of Batman in the fight against crime and corruption.
-
D.
Hardy Justice
Hardy Justice is a film producer best known for his work on the period drama "Stage Beauty."
-
E.
Lucius Fox
Lucius Fox is a brilliant inventor and executive at Wayne Enterprises who serves as Bruce Wayne’s trusted ally and technology provider in the Batman 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e4e4448190a8796573bc6d1069 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b54ad7c819082575245da07e358 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:55 a.m.