Triple
T35181421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christine Colgate |
E1015859
|
entity |
| Predicate | turningPointAction |
P182363
|
FINISHED |
| Object | outcons both Lawrence and Freddy |
—
|
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: outcons both Lawrence and Freddy | Statement: [Christine Colgate, turningPointAction, outcons both Lawrence and Freddy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turningPointAction Context triple: [Christine Colgate, turningPointAction, outcons both Lawrence and Freddy]
-
A.
turningPointIn
Indicates that an event or situation serves as a decisive change or pivotal moment within a larger process, narrative, or development.
-
B.
turningPointAgainst
Indicates a pivotal moment or event that shifts momentum or advantage against a particular entity or side.
-
C.
promptedAction
Indicates that one entity initiates or triggers another entity to perform a specific action.
-
D.
formOfAction
Indicates that one action is a specific manner, variant, or implementation of another more general action.
-
E.
causeOfAction
Indicates that one entity is the reason or basis for initiating a legal action or lawsuit against another entity.
- 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_69f76ddcc108819097f96853b7ed9ef4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78d7b32f88190a5811a1ad85a90a2 |
completed | May 3, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78c337cec8190bfdab225a3cc96db |
completed | May 3, 2026, 5:56 p.m. |
Created at: May 3, 2026, 4:02 p.m.