Triple
T21449239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heather Miller |
E529163
|
entity |
| Predicate | discovers |
P3851
|
FINISHED |
| Object | Leatherface is her cousin |
—
|
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: Leatherface is her cousin | Statement: [Heather Miller, discovers, Leatherface is her cousin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leatherface is her cousin Context triple: [Heather Miller, discovers, Leatherface is her cousin]
-
A.
Old Leatherface
Old Leatherface was the tough, hard-driving American aviator and military leader Claire Lee Chennault, famed for commanding the Flying Tigers in World War II.
-
B.
Pamela Voorhees
Pamela Voorhees is the vengeful mother of Jason Voorhees and the original killer in the Friday the 13th horror film series.
-
C.
Sheila in Army of Darkness
Sheila in *Army of Darkness* is the medieval noblewoman and love interest of Ash Williams who becomes briefly possessed by evil forces in the cult-classic horror-comedy film.
-
D.
Leatherface
chosen
Leatherface is the chainsaw-wielding, mask-wearing cannibalistic killer from the horror film franchise "The Texas Chainsaw Massacre."
-
E.
Gretchen Krueger
Gretchen Krueger is a researcher and author known for her work on CLIP, a multimodal AI model that connects images and text.
- 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.