Triple
T4715567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geoff Bell |
E104629
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | The Business |
E464483
|
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: The Business | Statement: [Geoff Bell, appearedIn, The Business]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Business Context triple: [Geoff Bell, appearedIn, The Business]
-
A.
The Business
chosen
The Business is a film featuring actor Geoff Bell in a prominent role.
-
B.
Lord Business
Lord Business is the main villain of *The Lego Movie*, a tyrannical ruler obsessed with control and perfection in the LEGO universe.
-
C.
In My Business
"In My Business" is a song by Whitney Houston from her 1998 album *My Love Is Your Love*, blending R&B and pop with themes of privacy and personal boundaries.
-
D.
Business Stripped Bare
Business Stripped Bare is an autobiographical business book by entrepreneur Richard Branson that shares lessons, stories, and insights from building the Virgin Group.
-
E.
Commercy
Commercy is a small town in northeastern France best known for its madeleine pastries and its role as an administrative center in the Meuse department.
- 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6408dc5c8190a8d6b1c1a3eba2df |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be39f7316c8190a6ecd65b707d3fbe |
completed | March 21, 2026, 6:25 a.m. |
Created at: March 20, 2026, 1:18 p.m.