Triple
T5366435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santiago Nasar |
E103142
|
entity |
| Predicate | timeOfDeathInFiction |
P28556
|
FINISHED |
| Object | morning after Bayardo and Angela’s wedding |
—
|
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: morning after Bayardo and Angela’s wedding | Statement: [Santiago Nasar, timeOfDeathInFiction, morning after Bayardo and Angela’s wedding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfDeathInFiction Context triple: [Santiago Nasar, timeOfDeathInFiction, morning after Bayardo and Angela’s wedding]
-
A.
deathInFiction
Indicates that an entity’s death occurs within a fictional work or narrative rather than in real life.
-
B.
timeOfDeath
chosen
Indicates the specific time at which an entity (typically a person or organism) died.
-
C.
deathApprox
Indicates that an entity’s death occurred at an approximate, rather than exact, time or date.
-
D.
containsDeathOf
Indicates that the subject includes, depicts, or involves the death of the referenced entity.
-
E.
deathDescribedIn
Indicates that a person's death is documented, narrated, or otherwise detailed within a particular source or description.
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd8682d18c8190bbb35cc75c8a7c12 |
completed | March 20, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69bd845f41f88190b75b8b64b9e41862 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:02 p.m.