Triple
T2790567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angel City FC |
E61917
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Uzo Aduba |
E114177
|
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: Uzo Aduba | Statement: [Angel City FC, owner, Uzo Aduba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uzo Aduba Context triple: [Angel City FC, owner, Uzo Aduba]
-
A.
Uzo Aduba
chosen
Uzo Aduba is an Emmy Award–winning American actress best known for her acclaimed portrayal of Suzanne "Crazy Eyes" Warren on the Netflix series "Orange Is the New Black."
-
B.
Angela Bassett
Angela Bassett is an acclaimed American actress known for her powerful performances in film and television, particularly in biographical and dramatic roles.
-
C.
Susan Kelechi Watson
Susan Kelechi Watson is an American actress best known for her role as Beth Pearson on the television series "This Is Us."
-
D.
Mamoudou Athie
Mamoudou Athie is a Mauritanian-American actor known for his roles in films like "The Front Runner" and "Unicorn Store" and the TV series "Sorry for Your Loss" and "Archive 81."
-
E.
Gabourey Sidibe
Gabourey Sidibe is an American actress best known for her acclaimed, Oscar-nominated breakout performance in the film "Precious."
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddb4ef3081909122840a357801bf |
completed | March 7, 2026, 8:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc65c1f848190b6efeefb64a3e131 |
completed | March 10, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:58 p.m.