Triple
T19999139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naked and Afraid |
E494271
|
entity |
| Predicate | numberOfContestantsPerEpisode |
P1131
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Naked and Afraid, numberOfContestantsPerEpisode, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfContestantsPerEpisode Context triple: [Naked and Afraid, numberOfContestantsPerEpisode, 2]
-
A.
numberOfEpisodes
Indicates the total count of episodes associated with a given entity, such as a series or season.
-
B.
segmentCountPerEpisode
Indicates the number of distinct segments contained within a single episode.
-
C.
numberOfWinnersPerSeason
Indicates the relationship that specifies how many winners are associated with each individual season.
-
D.
numberOfParticipants
chosen
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
E.
hasNumberOfFinalists
Indicates the relationship between an entity and the count of finalists associated with it.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a09bdc819083305b08a11c6e34 |
completed | April 20, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:32 p.m.