Triple
T20783357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skeet Ulrich |
E511560
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Scream (1996 film) |
—
|
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: Scream (1996 film) | Statement: [Skeet Ulrich, appearedIn, Scream (1996 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scream (1996 film) Context triple: [Skeet Ulrich, appearedIn, Scream (1996 film)]
-
A.
Scream (1996 film)
chosen
Scream (1996 film) is a landmark meta-horror slasher movie directed by Wes Craven that revitalized the genre through its self-aware commentary on horror tropes and its iconic Ghostface killer.
-
B.
Scream
Scream is a 2009 studio album by American rock musician Chris Cornell that explores a more pop and electronic-influenced sound produced in collaboration with Timbaland.
-
C.
Scream
"Scream" is an energetic dance-pop and R&B single by Usher known for its club-ready production and catchy, upbeat hook.
-
D.
Scream
"Scream" is a song by American rock band Long Gone, known for its intense energy and emotionally charged sound.
-
E.
Scream
"Scream" is a song by the American metal band Flesh Tone, known for its aggressive sound and intense vocal delivery.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28a4584819084d2d02febe47001 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:38 p.m.