Triple
T35512256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girl Croosh |
E1026314
|
entity |
| Predicate | hiresCharacterInSeason |
P183187
|
FINISHED |
| Object | Diane Nguyen – Season 3 |
—
|
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: Diane Nguyen – Season 3 | Statement: [Girl Croosh, hiresCharacterInSeason, Diane Nguyen – Season 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hiresCharacterInSeason Context triple: [Girl Croosh, hiresCharacterInSeason, Diane Nguyen – Season 3]
-
A.
recurringCharacterInSeason
Indicates that a character appears repeatedly across multiple episodes within a specific season of a series.
-
B.
characterIn
Indicates that an entity appears as a character within a specified work, story, or narrative.
-
C.
roleInSeason
Indicates the specific role or function an entity has within a particular season of a series or competition.
-
D.
playedInSeason
Indicates that an entity (such as a player or participant) took part in or was active during a specific season.
-
E.
playsInSeason
Indicates that an entity participates or performs in a specific season of an ongoing series, competition, or event.
- 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_69f76dfd61208190b93ec6dc439cab41 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79a53ccc481908421ae16e69aa8a4 |
completed | May 3, 2026, 6:56 p.m. |
Created at: May 3, 2026, 4:04 p.m.