Triple
T36589075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carolina López |
E902615
|
entity |
| Predicate | sharedAdultLifeWith |
P196375
|
FINISHED |
| Object | Roberto Bolaño |
—
|
NE NERFINISHED |
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: Roberto Bolaño | Statement: [Carolina López, sharedAdultLifeWith, Roberto Bolaño]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharedAdultLifeWith Context triple: [Carolina López, sharedAdultLifeWith, Roberto Bolaño]
-
A.
sharedLaterLifeWith
Indicates that two entities spent a significant portion of their later life period together, sharing circumstances, experiences, or close association during that time.
-
B.
hasAdultLifeIn
Indicates that an entity spends or experiences its adult stage of life within a specified location or environment.
-
C.
hasParallelLifeWith
Indicates that two entities lead or experience lives that run alongside each other in similar, corresponding, or contemporaneous ways without fully intersecting.
-
D.
sexLaterInStory
Indicates that the entities engage in sexual activity at a later point in the narrative or storyline.
-
E.
involvesRealLifeRelationship
chosen
Indicates a relationship where the connected entities are engaged in or depict an actual, non-fictional interpersonal relationship that exists or existed in real life.
- 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_69f76e6592e88190bac4eb00a46e9df9 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a009a0e1fa481909ed881012009b268 |
completed | May 10, 2026, 2:45 p.m. |
| PD | Predicate disambiguation | batch_6a0092e9fcb08190a966d720684f25ec |
completed | May 10, 2026, 2:15 p.m. |
Created at: May 3, 2026, 4:11 p.m.