Triple
T33015626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audrey O'Brien Loggia |
E844767
|
entity |
| Predicate | marriageStatusWithRobertLoggia |
P192585
|
FINISHED |
| Object | widowed |
—
|
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: widowed | Statement: [Audrey O'Brien Loggia, marriageStatusWithRobertLoggia, widowed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStatusWithRobertLoggia Context triple: [Audrey O'Brien Loggia, marriageStatusWithRobertLoggia, widowed]
-
A.
endTimeOfMarriageWith Robert Redford
Indicates the specific date and time at which a marriage to Robert Redford legally or formally ended.
-
B.
marriageToRobertDurst
Indicates that an entity is or was married to Robert Durst.
-
C.
marriageStatusWithLonChaney
Indicates the marital relationship status that an entity has (or had) with Lon Chaney.
-
D.
marriageStatusWithDolphLundgren
Indicates the marital relationship status that an entity currently has or had with Dolph Lundgren.
-
E.
maritalStatusWithDonaldPBellisario
Indicates that a person has or had a marital relationship with Donald P. Bellisario.
- 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_69f3494f3b4081909dccf2af34372a26 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
| PDg | Predicate description generation | batch_69fd19f6a7888190aa7eee2b87687c53 |
completed | May 7, 2026, 11:02 p.m. |
Created at: May 1, 2026, 1:23 a.m.