Triple
T17825241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claudia Villafañe |
E445097
|
entity |
| Predicate | startTimeOfMarriageWithDiegoMaradona |
P129338
|
FINISHED |
| Object | 1984 |
—
|
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: 1984 | Statement: [Claudia Villafañe, startTimeOfMarriageWithDiegoMaradona, 1984]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfMarriageWithDiegoMaradona Context triple: [Claudia Villafañe, startTimeOfMarriageWithDiegoMaradona, 1984]
-
A.
startTimeOfMarriageWithLucianoPavarotti
Indicates the date and time when an individual's marriage to Luciano Pavarotti began.
-
B.
endTimeOfMarriageWithLucianoPavarotti
Indicates the date and time when a marriage to Luciano Pavarotti ended.
-
C.
startTimeOfMarriageToErrolFlynn
Indicates the date and time when a person’s marriage to Errol Flynn began.
-
D.
endTime (marriage to Jaime de Marichalar)
Indicates the time at which the marriage to Jaime de Marichalar officially ended.
-
E.
startTime (marriage to Nero)
Indicates the point in time when the marriage to Nero 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48914226c819083edcc78e00b2d42 |
completed | April 19, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e266888190ae976b4b7d5b886f |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3f022ec448190a9bf191be1c5f570 |
completed | April 18, 2026, 8:57 p.m. |
Created at: April 10, 2026, 10:15 a.m.