Triple
T21252924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willa Holland |
E523790
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Willa Holland |
E523790
|
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: Willa Holland | Statement: [Willa Holland, name, Willa Holland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Willa Holland Context triple: [Willa Holland, name, Willa Holland]
-
A.
Willa Holland
chosen
Willa Holland is an American actress and model best known for her roles on the television series "The O.C." and "Arrow."
-
B.
Madeleine Stowe
Madeleine Stowe is an American actress best known for her film roles in the 1990s, including "The Last of the Mohicans" and "12 Monkeys," and later for her acclaimed television work.
-
C.
Rebecca Herbst
Rebecca Herbst is an American actress best known for her long-running role as nurse Elizabeth Webber on the soap opera "General Hospital."
-
D.
Deborah Anne Mazar
Deborah Anne Mazar is an American actress known for her sharp-tongued, tough-girl roles in film and television, including notable appearances in "Goodfellas," "Entourage," and "Younger."
-
E.
Kathrine Narducci
Kathrine Narducci is an American actress best known for her roles in Italian-American crime dramas, including prominent parts in films and television series such as The Sopranos.
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359f5b408190b951adddba83c97a |
completed | April 21, 2026, 8:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a098ff615bc8190b2e84ededa4a8367 |
completed | May 17, 2026, 9:52 a.m. |
Created at: April 16, 2026, 3:57 p.m.