Triple
T33210686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rick Dockery |
E850148
|
entity |
| Predicate | careerStatusAtStartOfNovel |
P24370
|
FINISHED |
| Object | disgraced NFL quarterback |
—
|
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: disgraced NFL quarterback | Statement: [Rick Dockery, careerStatusAtStartOfNovel, disgraced NFL quarterback]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerStatusAtStartOfNovel Context triple: [Rick Dockery, careerStatusAtStartOfNovel, disgraced NFL quarterback]
-
A.
statusAtEndOfNovel
Indicates the final state or condition of an entity as it stands at the conclusion of the novel.
-
B.
careerStatus
chosen
Indicates the current stage, position, or condition of an entity within its professional or occupational life.
-
C.
isUnemployedAtStartOf
Indicates that an individual is unemployed at the beginning of a specified time period or event.
-
D.
lifeStatusAtStart
Indicates the life status or condition of an entity at the beginning of a specified event or time period.
-
E.
protagonistStatusAtStart
Indicates the role or condition the main character is in at the beginning of the narrative or event.
- 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_69f3495fb92c819083ce65d0ddee7a76 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:30 a.m.