Triple
T9839584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Q |
E239186
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Heather Wahlquist |
E527509
|
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: Heather Wahlquist | Statement: [John Q, hasCastMember, Heather Wahlquist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heather Wahlquist Context triple: [John Q, hasCastMember, Heather Wahlquist]
-
A.
Heather Wahlquist
chosen
Heather Wahlquist is an American actress and screenwriter known for her collaborations with filmmaker Nick Cassavetes, including roles in films such as "Alpha Dog."
-
B.
Heather Matarazzo
Heather Matarazzo is an American actress best known for her character roles in films like "Welcome to the Dollhouse" and "The Princess Diaries."
-
C.
Lisa Wilhoit
Lisa Wilhoit is an American actress best known for her role on the cult teen drama series "My So-Called Life."
-
D.
Kari Holbrook
Kari Holbrook is an individual notable enough to be recognized as a prominent bearer of the Holbrook surname.
-
E.
Kirsten Fudeman
Kirsten Fudeman is a linguist and scholar known for her collaborative work with Mark Aronoff in the field of morphology and the history of linguistic thought.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34b045481908f89abd576aab497 |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e215ac56248190a75ad5ceb8152d5a |
completed | April 17, 2026, 11:12 a.m. |
Created at: March 30, 2026, 8:33 p.m.