Triple
T15357615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Octan Corporation |
E367202
|
entity |
| Predicate | hasLeader |
P981
|
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: [Octan Corporation, hasLeader, Lord Business]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lord Business Context triple: [Octan Corporation, hasLeader, 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.
Three Businessmen
Three Businessmen is a 1998 surreal dark comedy film directed by Alex Cox that follows two art dealers on a bizarre overnight odyssey through increasingly strange urban landscapes.
-
C.
The Business
The Business is a film featuring actor Geoff Bell in a prominent role.
-
D.
The Business
The Business is a British television series featuring actress Caroline Harker in a prominent role.
-
E.
The Business
The Business is a satirical science fiction novel by Iain M. Banks that follows a powerful, secretive multinational corporation with quasi-governmental influence as seen through the eyes of one of its high-ranking executives.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2d4934819097fc63603964217c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56b4c6c881908ac7887a88f80829 |
completed | May 9, 2026, 3:45 p.m. |
Created at: April 10, 2026, 3:18 a.m.