Triple
T30677294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 24 Hours of Happy |
E780948
|
entity |
| Predicate | notableCelebrityAppearance |
P170066
|
FINISHED |
| Object | Steve Carell |
E183574
|
NE 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: Steve Carell | Statement: [24 Hours of Happy, notableCelebrityAppearance, Steve Carell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCelebrityAppearance Context triple: [24 Hours of Happy, notableCelebrityAppearance, Steve Carell]
-
A.
tvShowAppearance
Indicates that an entity appears or participates in a particular television show.
-
B.
notableAppearance
Indicates that an entity is prominently featured or makes a significant appearance in another work, event, or context.
-
C.
celebrityParticipant
chosen
Indicates that an entity takes part in an event, activity, or production specifically in the role of a celebrity.
-
D.
notableAppearanceIn
Indicates that an entity is prominently featured or plays a significant role in a particular work, event, or context.
-
E.
notableAppearanceType
Indicates the type or category of a notable appearance associated with an entity, such as a significant role, cameo, or featured presence.
- F. None of above.
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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a287103d03481909bf61694b34cd6bb |
completed | June 9, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:32 p.m.