Triple
T2301849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CoverGirl |
E51749
|
entity |
| Predicate | hasSpokesmodel |
P38624
|
FINISHED |
| Object | Zendaya |
E68343
|
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: Zendaya | Statement: [CoverGirl, hasSpokesmodel, Zendaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zendaya Context triple: [CoverGirl, hasSpokesmodel, Zendaya]
-
A.
Zendaya
chosen
Zendaya is an American actress and singer best known for her acclaimed, Emmy-winning performance as Rue Bennett in the HBO drama series "Euphoria."
-
B.
Zoë Kravitz
Zoë Kravitz is an American actress, singer, and model known for roles in films like "Mad Max: Fury Road," "Fantastic Beasts," and "The Batman," as well as for fronting the band Lolawolf.
-
C.
Hailee Steinfeld
Hailee Steinfeld is an American actress and pop singer known for her Oscar-nominated role in "True Grit" and hit songs like "Love Myself" and "Starving."
-
D.
Chlöe Bailey
Chlöe Bailey is an American singer, songwriter, producer, and actress best known as one half of the R&B duo Chloe x Halle and for her solo music career.
-
E.
Mackenzie Davis
Mackenzie Davis is a Canadian actress known for her roles in films like "Blade Runner 2049" and "The Martian" and the TV series "Halt and Catch Fire."
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abd0d6b0e48190aee9131ca182e52f |
completed | March 7, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f31356c81909c563d88d472e05f |
completed | March 9, 2026, 8:05 a.m. |
Created at: March 4, 2026, 7:49 p.m.