Triple
T8790133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merle Oberon |
E209140
|
entity |
| Predicate | marriageEndWithBrunoPagliai |
P85398
|
FINISHED |
| Object | 1973 |
—
|
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: 1973 | Statement: [Merle Oberon, marriageEndWithBrunoPagliai, 1973]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageEndWithBrunoPagliai Context triple: [Merle Oberon, marriageEndWithBrunoPagliai, 1973]
-
A.
endTime (marriage to Jaime de Marichalar)
Indicates the time at which the marriage to Jaime de Marichalar officially ended.
-
B.
marriageEndedBy
Indicates that a marriage relationship between two entities has been terminated due to the action or decision of a specified party or event.
-
C.
endTime (marriage to Nero)
Indicates the point in time at which the marriage to Nero concluded or was terminated.
-
D.
marriageEndTimeWithRossKemp
Indicates the time at which a marriage involving Ross Kemp officially ended.
-
E.
endTime (marriage to Liza Minnelli)
Indicates the date and time when the marriage to Liza Minnelli legally or formally ended.
- F. None of above. chosen
Provenance (4 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f8d25f881908863d636fa57a8a2 |
completed | March 31, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1d48f08190b325a77d4c76d223 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:43 p.m.