Triple
T37195420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celebrity MasterChef |
E921575
|
entity |
| Predicate | usesEliminationMechanism |
P42993
|
FINISHED |
| Object | judges’ decision |
—
|
LITERAL 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: judges’ decision | Statement: [Celebrity MasterChef, usesEliminationMechanism, judges’ decision]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesEliminationMechanism Context triple: [Celebrity MasterChef, usesEliminationMechanism, judges’ decision]
-
A.
usesEliminationMethod
chosen
Indicates that one entity applies an elimination-based method or process to solve, simplify, or remove elements in relation to another entity or problem.
-
B.
removalMechanism
Indicates the method or process by which something is removed, eliminated, or taken away from a system or context.
-
C.
hasMechanism
Indicates that one entity operates, functions, or produces an effect through the specified mechanism or process.
-
D.
hasEliminationCriterion
Indicates that there exists a specific condition or rule under which an entity is removed, disqualified, or excluded from further consideration or participation.
-
E.
haveHighLevelMechanism
Indicates that an entity possesses or is associated with a high-level, abstract mechanism explaining how something works or occurs.
- F. None of above.
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_69f76ea313a08190a54404cd1e47da90 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:15 p.m.