Triple
T7658328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyra Collette |
E173440
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Collette
Collette is a surname most notably associated with the character Tyra Collette from the television series "Friday Night Lights."
|
E679761
|
NE FINISHED |
How this triple was built (4 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: Collette | Statement: [Tyra Collette, familyName, Collette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Collette Context triple: [Tyra Collette, familyName, Collette]
-
A.
Margaux
Margaux is a prestigious Bordeaux wine appellation in the Médoc region of France, renowned for its elegant, aromatic red wines and several classified growth châteaux.
-
B.
Rose Mignon
Rose Mignon is a fictional character from the manga and anime series "Nana," which follows the intertwined lives of two young women who share the same name.
-
C.
Estelle
Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
-
D.
Paris Morgan
Paris Morgan is the popular high-school love interest portrayed by Christina Milian in the 2003 teen romantic comedy film "Love Don't Cost a Thing."
-
E.
Rose Dione
Rose Dione was a French-born actress active in early American silent cinema, known for character roles in films such as the 1921 adaptation of "Little Lord Fauntleroy."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Collette Triple: [Tyra Collette, familyName, Collette]
Generated description
Collette is a surname most notably associated with the character Tyra Collette from the television series "Friday Night Lights."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Collette Target entity description: Collette is a surname most notably associated with the character Tyra Collette from the television series "Friday Night Lights."
-
A.
Margaux
Margaux is a prestigious Bordeaux wine appellation in the Médoc region of France, renowned for its elegant, aromatic red wines and several classified growth châteaux.
-
B.
Rose Mignon
Rose Mignon is a fictional character from the manga and anime series "Nana," which follows the intertwined lives of two young women who share the same name.
-
C.
Estelle
Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
-
D.
Paris Morgan
Paris Morgan is the popular high-school love interest portrayed by Christina Milian in the 2003 teen romantic comedy film "Love Don't Cost a Thing."
-
E.
Rose Dione
Rose Dione was a French-born actress active in early American silent cinema, known for character roles in films such as the 1921 adaptation of "Little Lord Fauntleroy."
- F. None of above. chosen
Provenance (5 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7019161548190855a5b1e9f5d7e99 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b0d345081909a1d4475fa3876f5 |
completed | March 29, 2026, 3:22 a.m. |
| NEDg | Description generation | batch_69c89d77b7cc81908120da0121c94537 |
completed | March 29, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89ddd81a88190924d41529e94b06b |
completed | March 29, 2026, 3:34 a.m. |
Created at: March 27, 2026, 3:59 p.m.