Triple
T14461165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YaYa Gosselin |
E358586
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | YaYa Gosselin |
E358586
|
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: YaYa Gosselin | Statement: [YaYa Gosselin, name, YaYa Gosselin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YaYa Gosselin Context triple: [YaYa Gosselin, name, YaYa Gosselin]
-
A.
YaYa Gosselin
chosen
YaYa Gosselin is an American child actress best known for her leading role in the Netflix superhero film "We Can Be Heroes."
-
B.
Joel Gosselin
Joel Gosselin is one of the Gosselin sextuplets who grew up in the public eye on the reality TV series "Jon & Kate Plus 8" (later "Kate Plus 8").
-
C.
Cara Gosselin
Cara Gosselin is one of Jon and Kate Gosselin’s twin daughters who grew up in the public eye on the reality TV series "Jon & Kate Plus 8" (later "Kate Plus 8").
-
D.
Blaise Rogeau
Blaise Rogeau is a person notable enough to be recognized as a distinguished bearer of the given name Blaise.
-
E.
Nicky Marmet
Nicky Marmet is an interior designer best known as the longtime partner and husband of actress Robin Tunney.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91abc1008190a19de4f8f0112c9d |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6495660081908ab9db11939e74f7 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.