Triple
T21449259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heather Miller |
E529163
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Debra Sullivan |
—
|
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: Debra Sullivan | Statement: [Heather Miller, createdBy, Debra Sullivan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debra Sullivan Context triple: [Heather Miller, createdBy, Debra Sullivan]
-
A.
Debra Sullivan
Debra Sullivan is a screenwriter best known for co-writing the horror film "Texas Chainsaw 3D."
-
B.
Debbie Sullivan
Debbie Sullivan is a central character in the 1986 romantic comedy-drama film "About Last Night," portrayed as a young woman navigating the complexities of love and commitment in a modern relationship.
-
C.
Debra Humphries
Debra Humphries is the mother of former NBA player Kris Humphries.
-
D.
Debra Newell
Debra Newell is an interior designer whose real-life relationship with conman John Meehan inspired the true-crime podcast and TV series "Dirty John."
-
E.
Debra Laws
Debra Laws is an American R&B and soul singer best known for her 1981 hit single "Very Special" and her work in the early 1980s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d11ca48190aafe25c97dfa5578 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:06 p.m.