Triple
T32614338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Boocock Lee |
E833743
|
entity |
| Predicate | marriageDurationWithStanLee |
P57236
|
FINISHED |
| Object | about 69 years |
—
|
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: about 69 years | Statement: [Joan Boocock Lee, marriageDurationWithStanLee, about 69 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageDurationWithStanLee Context triple: [Joan Boocock Lee, marriageDurationWithStanLee, about 69 years]
-
A.
marriageDurationWithRockHudson
Indicates the length of time an entity was married to Rock Hudson.
-
B.
marriageDurationWithYulBrynner
Indicates the length of time that an entity was married to Yul Brynner.
-
C.
marriageDuration
chosen
Indicates the length of time that a marriage relationship has existed between two spouses.
-
D.
endTimeOfMarriageToGeorgePeppard
Indicates the time at which a person's marriage to George Peppard ended.
-
E.
marriageDurationWithBelaLugosi
Indicates the length of time an entity was married to Bela Lugosi.
- 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_69f3492bfa648190b6ae472074634e29 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: May 1, 2026, 1:06 a.m.