Triple
T20219601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Édith Giovanna Gassion |
E495214
|
entity |
| Predicate | marriageEndToThéoSarapo |
P92796
|
FINISHED |
| Object | 1963 |
—
|
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: 1963 | Statement: [Édith Giovanna Gassion, marriageEndToThéoSarapo, 1963]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageEndToThéoSarapo Context triple: [Édith Giovanna Gassion, marriageEndToThéoSarapo, 1963]
-
A.
endTime (marriage to Stavros Niarchos)
Indicates the date and time at which the marriage to Stavros Niarchos ended.
-
B.
endTime (marriage to Aristotle Onassis)
Indicates the date and time at which the marriage to Aristotle Onassis concluded or was legally terminated.
-
C.
endTime (marriage to Joséphine)
Indicates the point in time at which the marriage to Joséphine legally or formally ended.
-
D.
endTime (marriage to Nero)
Indicates the point in time at which the marriage to Nero concluded or was terminated.
-
E.
endTime (marriage)
chosen
Indicates the point in time at which the marriage relationship is considered to have ended.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66edbb67081909c7359ff27205b5f |
completed | April 20, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69e55b18609481909ab28bc8750a642f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:39 p.m.