Triple
T23898103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassie Bowden |
E600960
|
entity |
| Predicate | occupationSeason2 |
P153984
|
FINISHED |
| Object | CIA asset |
—
|
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: CIA asset | Statement: [Cassie Bowden, occupationSeason2, CIA asset]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupationSeason2 Context triple: [Cassie Bowden, occupationSeason2, CIA asset]
-
A.
season2Premise
Indicates that the subject is the central premise or main storyline for the second season of the referenced series or show.
-
B.
competitionSeason
Indicates that an entity is associated with a particular competitive season or edition of a competition.
-
C.
tradeSeason
Indicates a specific period or season during which trading activities or exchanges are allowed, active, or most commonly occur.
-
D.
sportSeasonOf
Indicates that one entity is a sports season that belongs to, or is part of, the overall history or schedule of the specified sport.
-
E.
trainingSeason
Indicates the specific season or time period during which training activities or programs take place.
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cddb3fdc819096dc84a1774d9bee |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 8:25 p.m.