Triple
T37212511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Bock |
E922644
|
entity |
| Predicate | hasSpouseWhoWon |
P71310
|
FINISHED |
| Object | Tony Award |
—
|
NE NERFINISHED |
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: Tony Award | Statement: [Patricia Bock, hasSpouseWhoWon, Tony Award]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpouseWhoWon Context triple: [Patricia Bock, hasSpouseWhoWon, Tony Award]
-
A.
spouseNotableAward
chosen
Indicates that a person’s spouse has received a notable award or honor.
-
B.
spouseNotableFor
Indicates that a person's spouse is recognized or distinguished for a particular achievement, role, or characteristic.
-
C.
spouseAwardedFor
Indicates that an award or honor was given to a person specifically because of, or in recognition of, their spouse’s achievements or status.
-
D.
spouseOfSportsFigure
Indicates a marital relationship where one person is the spouse of a sports figure.
-
E.
hasNamesakeSpouse
Indicates that one entity has a spouse who shares the same name as another specified entity.
- 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_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fee0b2da3c8190a3519d0564f2f32d |
completed | May 9, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69fee05b315c819081dfcbfb15273487 |
completed | May 9, 2026, 7:20 a.m. |
Created at: May 3, 2026, 4:15 p.m.