Triple
T21290884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Beech |
E524784
|
entity |
| Predicate | marriageSequenceWithTonyBennett |
P103715
|
FINISHED |
| Object | first wife |
—
|
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 wife | Statement: [Patricia Beech, marriageSequenceWithTonyBennett, first wife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageSequenceWithTonyBennett Context triple: [Patricia Beech, marriageSequenceWithTonyBennett, first wife]
-
A.
marriageOrderWithTonyBennett
chosen
Indicates the ordinal position in which an entity married Tony Bennett relative to his other spouses.
-
B.
marriageStartWithBessieSmith
Indicates the point in time when a marriage involving Bessie Smith began.
-
C.
marriageOrderWithBillyBobThornton
Indicates the chronological position in which an entity was married to Billy Bob Thornton relative to his other spouses.
-
D.
marriageSequenceToHussein
Indicates that an entity enters into a marriage with Hussein at a specific point or order within a sequence of marriages.
-
E.
marriageSequenceWithLarryKing
Indicates the ordered position of a marriage within the sequence of all marriages involving Larry King.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736da28648190ae3f63c6ba1f6d6f |
completed | April 21, 2026, 8:35 a.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:04 p.m.