Triple
T22474248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luke Greenfield |
E555584
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | The Animal |
—
|
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: The Animal | Statement: [Luke Greenfield, directed, The Animal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Animal Context triple: [Luke Greenfield, directed, The Animal]
-
A.
The Animal
chosen
The Animal is a 2001 comedy film starring Rob Schneider as a man who develops animal-like abilities after undergoing a radical transplant procedure.
-
B.
The Animal
The Animal is a guitar-driven instrumental track by Steve Vai, featured on his influential 1990 album "Passion and Warfare."
-
C.
Another Animal
Another Animal is an American hard rock supergroup formed by members of Godsmack and other musicians, known for their heavy, riff-driven sound.
-
D.
The Pet
The Pet is a painting by Pre-Raphaelite artist Walter Deverell, reflecting the movement’s characteristic attention to vivid detail and romanticized subject matter.
-
E.
Beasts
Beasts is a 1976 British television horror anthology series created and written by Nigel Kneale, known for its unsettling, creature-themed standalone stories.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be2d5388190a59d11b3403d998b |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:49 p.m.