Triple
T23289625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baywatch Nights |
E589988
|
entity |
| Predicate | leadCharacterPreviouslyAppearedIn |
P151721
|
FINISHED |
| Object | Baywatch |
—
|
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: Baywatch | Statement: [Baywatch Nights, leadCharacterPreviouslyAppearedIn, Baywatch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadCharacterPreviouslyAppearedIn Context triple: [Baywatch Nights, leadCharacterPreviouslyAppearedIn, Baywatch]
-
A.
previouslyPortrayedBy
Indicates that the subject entity was portrayed in the past by the specified actor or performer.
-
B.
characterPreviouslyUnseenIn
Indicates that a character has not appeared or been mentioned in the specified context, work, or segment prior to that point.
-
C.
laterPortrayedAs
Indicates that an entity is subsequently depicted or represented as another character, role, or form in a later work or context.
-
D.
cameoCharacter
Indicates that one entity appears briefly or in a minor, special-guest role within the context or work associated with another entity.
-
E.
formerCharacter
Indicates that an entity was once a character in a work or series but is no longer an active or current character.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1964a4c548190bda1e85b8d316e8a |
completed | April 29, 2026, 5:25 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 5:01 p.m.