Triple
T25140278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Barbato |
E629783
|
entity |
| Predicate | startTimeOfMarriageWithFrankSinatra |
P161442
|
FINISHED |
| Object | 1939 |
—
|
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: 1939 | Statement: [Nancy Barbato, startTimeOfMarriageWithFrankSinatra, 1939]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfMarriageWithFrankSinatra Context triple: [Nancy Barbato, startTimeOfMarriageWithFrankSinatra, 1939]
-
A.
endTimeOfMarriageWithFrankSinatra
Indicates the date and time at which a person's marriage to Frank Sinatra ended.
-
B.
startTimeOfMarriageToTonyBennett
Indicates the date and time when an individual’s marriage to Tony Bennett began.
-
C.
startTime (marriage to Liza Minnelli)
Indicates the date and time when the marriage to Liza Minnelli began.
-
D.
startTimeOfMarriageWithOliviaNewtonJohn
Indicates the date and time when a marriage involving Olivia Newton-John began.
-
E.
startTimeOfMarriageWithCaryGrant
Indicates the date and time when an individual’s marriage to Cary Grant 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_69e2ff338250819096ff6c8892804389 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f613bc641c819084343cc78d080640 |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f613502d808190b89927e5e734b43a |
completed | May 2, 2026, 3:08 p.m. |
Created at: April 18, 2026, 6:29 a.m.