Triple
T3536694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Cop |
E74788
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Lord Business |
E74787
|
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: Lord Business | Statement: [Bad Cop, employer, Lord Business]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lord Business Context triple: [Bad Cop, employer, Lord Business]
-
A.
Lord Business
chosen
Lord Business is the main villain of *The Lego Movie*, a tyrannical ruler obsessed with control and perfection in the LEGO universe.
-
B.
The Boss
The Boss is a powerful and feared crime lord in the film "Lucky Number Slevin," serving as one of the central antagonists who drives the story’s underworld conflict.
-
C.
The Boss
The Boss is the nickname of Rick Ross, an American rapper and music executive known for his deep voice, luxurious themes, and influential role in Southern hip-hop.
-
D.
The Boss
The Boss is the famous nickname of American rock musician Bruce Springsteen, renowned for his powerful live performances and working-class anthems.
-
E.
The Boss
The Boss was the domineering and famously hands-on principal owner of the New York Yankees, known for his aggressive management style and frequent managerial changes.
- 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_69ad85d1a3948190931fd1ea1f49717b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbcc7b92481908d2d99948780f4d0 |
completed | March 8, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b432fab6d48190b13076783a62b96f |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 8, 2026, 3:20 p.m.