Triple
T24202634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayley |
E600020
|
entity |
| Predicate | turnedHeel |
P155165
|
FINISHED |
| Object | 2019-10-11 |
—
|
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: 2019-10-11 | Statement: [Bayley, turnedHeel, 2019-10-11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turnedHeel Context triple: [Bayley, turnedHeel, 2019-10-11]
-
A.
turns
Indicates a change in orientation, direction, or state initiated by one entity affecting itself or another entity.
-
B.
turnedPro
Indicates that an individual transitioned from amateur status to professional status in a particular field or activity.
-
C.
stoodDown
Indicates that an entity relinquished its active role, position, or state of readiness, often stepping aside from duty or responsibility.
-
D.
betrayed
Indicates that one entity has broken the trust, loyalty, or confidence of another, typically by acting against their interests or revealing something meant to be kept secret.
-
E.
turningPointAgainst
Indicates a pivotal moment or event that shifts momentum or advantage against a particular entity or side.
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27ca2d6708190ba20d00870d0af49 |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c9834064819082024233d9c6f98f |
completed | April 29, 2026, 9:04 a.m. |
Created at: April 17, 2026, 11:36 p.m.