Triple
T24671097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chad Ochocinco |
E610834
|
entity |
| Predicate | participatedInShow |
P57975
|
FINISHED |
| Object | Dancing with the Stars |
—
|
NE NERFINISHED |
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: Dancing with the Stars | Statement: [Chad Ochocinco, participatedInShow, Dancing with the Stars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: participatedInShow Context triple: [Chad Ochocinco, participatedInShow, Dancing with the Stars]
-
A.
seriesParticipatedIn
Indicates that an entity took part in or was involved as a participant in a particular series (such as a competition, event sequence, or media series).
-
B.
participatedInEvent
Indicates that an entity took part in or was actively involved in a specific event.
-
C.
tvShowAppearance
chosen
Indicates that an entity appears or participates in a particular television show.
-
D.
coParticipantIn
Indicates that two or more entities take part together as participants in the same event, activity, or situation.
-
E.
servedInTheatre
Indicates that an individual performed military or service duties within a specific theater of operations or geographic area during a conflict or campaign.
- 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_69e2c4d505cc8190981881df06c0bf52 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:42 a.m.