Triple
T33980245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunter Sachs |
E871256
|
entity |
| Predicate | startTime (marriage to Brigitte Bardot) |
P201498
|
FINISHED |
| Object | 1966 |
—
|
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: 1966 | Statement: [Gunter Sachs, startTime (marriage to Brigitte Bardot), 1966]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (marriage to Brigitte Bardot) Context triple: [Gunter Sachs, startTime (marriage to Brigitte Bardot), 1966]
-
A.
endTime (marriage to Brigitte Bardot)
Indicates the date and time at which the marriage to Brigitte Bardot legally or formally ended.
-
B.
startTime (marriage to Liza Minnelli)
Indicates the date and time when the marriage to Liza Minnelli began.
-
C.
startTime (marriage to Cloris Leachman)
Indicates the date and time when the marriage to Cloris Leachman officially began.
-
D.
startTime (marriage to Aristotle Onassis)
Indicates the specific point in time when the marriage to Aristotle Onassis began.
-
E.
startTime (marriage to Ernest Hemingway)
Indicates the date and time when the marriage to Ernest Hemingway began.
- 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_69f3499da0188190ab1a4ff06fb06a2a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fffbb5d0188190b6d168de8626ff68 |
completed | May 10, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69fffa3bc1208190a277961385a4789f |
completed | May 10, 2026, 3:23 a.m. |
| PDg | Predicate description generation | batch_69fffbb513c881909063ecf12467f4a6 |
completed | May 10, 2026, 3:29 a.m. |
Created at: May 1, 2026, 1:50 a.m.