Triple
T3536365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Spacey as Dave Harken |
E74781
|
entity |
| Predicate | notableInteraction |
P1700
|
FINISHED |
| Object | gaslights Nick Hendricks |
—
|
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: gaslights Nick Hendricks | Statement: [Kevin Spacey as Dave Harken, notableInteraction, gaslights Nick Hendricks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableInteraction Context triple: [Kevin Spacey as Dave Harken, notableInteraction, gaslights Nick Hendricks]
-
A.
notableEngagement
chosen
Indicates a significant interaction, involvement, or participation between entities that is noteworthy or distinguished in some context.
-
B.
notableDuring
Indicates that something was especially prominent, active, or significant during a particular time period or event.
-
C.
notableExposure
Indicates that an entity has received significant public attention, visibility, or coverage, making it notably exposed or recognized.
-
D.
notableVisit
Indicates that one entity made a visit to another entity or location that is considered significant or noteworthy.
-
E.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
- 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_69ad85d1a3948190931fd1ea1f49717b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbcc7b92481908d2d99948780f4d0 |
completed | March 8, 2026, 6:15 p.m. |
| PD | Predicate disambiguation | batch_69adae13ab808190a5d6ecdc7543445e |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:20 p.m.