Triple
T6953904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benjamin Sisko |
E161192
|
entity |
| Predicate | widowedBy |
P61663
|
FINISHED |
| Object | death of Jennifer Sisko |
—
|
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: death of Jennifer Sisko | Statement: [Benjamin Sisko, widowedBy, death of Jennifer Sisko]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: widowedBy Context triple: [Benjamin Sisko, widowedBy, death of Jennifer Sisko]
-
A.
marriedToUntilDeathOfSpouse
Indicates a marital relationship that is intended to remain in effect until the death of one of the spouses.
-
B.
spouseDateOfDeath
Indicates the date on which a person's spouse died.
-
C.
spouseDeathContext
Indicates the circumstances or contextual details surrounding the death of a person’s spouse.
-
D.
spouseStatusAfterDeath
chosen
Indicates the marital status or spousal relationship of a person after the death of their spouse.
-
E.
firstHusbandDeath
Indicates that the woman's first husband has died, marking the end of that marital relationship by his death.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacca12481908942ba793a104cc3 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:29 p.m.