Triple
T14597956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Joseph Barry |
E342623
|
entity |
| Predicate | notable fact |
P8229
|
FINISHED |
| Object | first husband of Maryanne Trump Barry |
—
|
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: first husband of Maryanne Trump Barry | Statement: [John Joseph Barry, notable fact, first husband of Maryanne Trump Barry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notable fact Context triple: [John Joseph Barry, notable fact, first husband of Maryanne Trump Barry]
-
A.
notableFact
chosen
Indicates that there exists a particularly significant or noteworthy fact or piece of information associated with the subject.
-
B.
notableProductionFact
Indicates a noteworthy or distinctive fact about how something was produced, created, or manufactured.
-
C.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
D.
notableDuring
Indicates that something was especially prominent, active, or significant during a particular time period or event.
-
E.
notableSingle
Indicates that the subject is particularly recognized or distinguished for one specific, individual instance (such as a single work, event, or achievement).
- F. None of above.
Provenance (3 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb436d92881908fdf9267568feee2 |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656a953481909a4645b004c40de7 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:25 a.m.