Triple
T34040736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1 vs. 100 (UK) |
E872934
|
entity |
| Predicate | mainContestantRole |
P33874
|
FINISHED |
| Object | attempts to outlast all 100 mob members |
—
|
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: attempts to outlast all 100 mob members | Statement: [1 vs. 100 (UK), mainContestantRole, attempts to outlast all 100 mob members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainContestantRole Context triple: [1 vs. 100 (UK), mainContestantRole, attempts to outlast all 100 mob members]
-
A.
contestantOn
Indicates that one entity participates as a competitor in a contest, show, or competition associated with another entity.
-
B.
talentShowRole
Indicates the specific function or position an entity holds within the context of a talent show (e.g., performer, judge, host).
-
C.
participantClassification
Indicates how a participant in an event or interaction is categorized or typed with respect to their role or characteristics in that context.
-
D.
competitionRole
chosen
Indicates that an entity holds a specific role, position, or function within a competitive event or contest.
-
E.
decidesParticipantRole
Indicates that an entity determines or assigns the specific role a participant will have in a given situation or activity.
- 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_69f349a3363081909cea4c9a848cefe2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: May 1, 2026, 1:51 a.m.