Triple
T36654973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Schneider |
E904963
|
entity |
| Predicate | roleInParanormalActivityFranchise |
P203586
|
FINISHED |
| Object | producer |
—
|
LITERAL FINISHED |
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: producer | Statement: [Steven Schneider, roleInParanormalActivityFranchise, producer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInParanormalActivityFranchise Context triple: [Steven Schneider, roleInParanormalActivityFranchise, producer]
-
A.
roleInScreamResurrection
Indicates that an entity has a specific role or involvement in the event or process of "Scream Resurrection."
-
B.
roleInDeadByDaylight
Indicates the specific function or character type an entity has within the context of the game Dead by Daylight.
-
C.
roleInTheNightmareBeforeChristmas
Indicates the specific role or character that an entity has in the movie "The Nightmare Before Christmas."
-
D.
roleInAlienCovenant
Indicates that an entity has a role or participation in the film "Alien: Covenant."
-
E.
roleInMonstersInc
Indicates the specific function, position, or part an entity has within the context of the movie “Monsters, Inc.”
- F. None of above. chosen
Provenance (4 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_69f76e6e3b908190970251b30f76ad71 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a01ac8b4ac881908aa52079c985ddac |
completed | May 11, 2026, 10:16 a.m. |
| PD | Predicate disambiguation | batch_6a01aa7fa7b48190b4911aa6bcabe7eb |
completed | May 11, 2026, 10:07 a.m. |
| PDg | Predicate description generation | batch_6a01ac8a6ff08190adfdee3270f06a82 |
completed | May 11, 2026, 10:16 a.m. |
Created at: May 3, 2026, 4:11 p.m.