Triple
T20620556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Q |
E506686
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Heather Wahlquist |
—
|
NE NERFINISHED |
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, starring, Heather Wahlquist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heather Wahlquist Context triple: [John Q, starring, 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 Wielandt
Heather Wielandt is known as the former spouse of American actor Titus Welliver.
-
C.
Heather Donahue
Heather Donahue is an American actress best known for her lead role in the groundbreaking found-footage horror film "The Blair Witch Project."
-
D.
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."
-
E.
Heather Dunn
Heather Dunn is an American musician best known as the drummer for the 1990s indie pop band Tiger Trap.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe19ca481908c896bec49a025cd |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:42 a.m.