Triple
T21449218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heather Miller |
E529163
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Heather Miller |
—
|
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 Miller | Statement: [Heather Miller, fullName, Heather Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heather Miller Context triple: [Heather Miller, fullName, Heather Miller]
-
A.
Heather Miller
chosen
Heather Miller is the central protagonist of the horror film "Texas Chainsaw 3D," who discovers her disturbing family legacy tied to the infamous Sawyer clan.
-
B.
Heather McIntosh
Heather McIntosh is an American cellist and film composer known for her work on independent films and collaborations across experimental and indie music scenes.
-
C.
Victoria Miller
Victoria Miller is a person known primarily for being a relative of filmmaker Christopher Miller.
-
D.
Lynsey Miller
Lynsey Miller is a British television director known for her work on high-profile drama series, including the crime drama "Deadwater Fell."
-
E.
Heather Kidd
Heather Kidd is the wife of English lyricist Bernie Taupin, known for her long-term marriage to the famed songwriter.
- 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_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.