Triple
T32284850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Illusion-O ghost viewer |
E824797
|
entity |
| Predicate | usedDuringScreeningOf |
P4341
|
FINISHED |
| Object | 13 Ghosts (1960 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: 13 Ghosts (1960 film) | Statement: [Illusion-O ghost viewer, usedDuringScreeningOf, 13 Ghosts (1960 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedDuringScreeningOf Context triple: [Illusion-O ghost viewer, usedDuringScreeningOf, 13 Ghosts (1960 film)]
-
A.
wasScreenedAs
Indicates that an entity was evaluated or tested and classified as a particular role, status, or category during a screening process.
-
B.
hasScreening
Indicates that one entity conducts, hosts, or is associated with a particular screening event involving another entity.
-
C.
screenedWith
Indicates that one entity is examined, tested, or evaluated using another entity as the screening method, tool, or criterion.
-
D.
usedDuring
chosen
Indicates that one entity is employed, applied, or active in the course of another entity’s process, event, or time period.
-
E.
usesConstituentScreening
Indicates that one entity employs or applies a specific constituent screening process or method to another entity or set of items.
- F. None of above.
Provenance (3 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bcce457c819091b711d6cc66c980 |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:43 a.m.