Triple
T35308984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenenbaum family |
E1019712
|
entity |
| Predicate | climaxInvolves |
P106307
|
FINISHED |
| Object | Richie’s suicide attempt and reconciliation |
—
|
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: Richie’s suicide attempt and reconciliation | Statement: [Tenenbaum family, climaxInvolves, Richie’s suicide attempt and reconciliation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climaxInvolves Context triple: [Tenenbaum family, climaxInvolves, Richie’s suicide attempt and reconciliation]
-
A.
climacticAct
Indicates the pivotal or most intense action or event that serves as the climax within a sequence or narrative.
-
B.
typeOfClimax
Indicates the specific kind or category of climax that characterizes an event, narrative, or process.
-
C.
dramaticClimaxInvolvement
Indicates involvement in the pivotal, most intense turning point or climax of a dramatic work or narrative.
-
D.
climaxEvents
chosen
Indicates that the related events represent the peak or most intense turning point within a larger sequence or narrative.
-
E.
hasClimaxAt
Indicates that an event, narrative, or process reaches its most intense or decisive point at a specified time, place, or segment.
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79052ed048190afc63b2c29b9758b |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:03 p.m.