Triple
T25228330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Davies |
E632152
|
entity |
| Predicate | startTimeOfMarriageToGeorgePeppard |
P162087
|
FINISHED |
| Object | 1950s |
—
|
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: 1950s | Statement: [Helen Davies, startTimeOfMarriageToGeorgePeppard, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfMarriageToGeorgePeppard Context triple: [Helen Davies, startTimeOfMarriageToGeorgePeppard, 1950s]
-
A.
endTimeOfMarriageToGeorgePeppard
Indicates the time at which a person's marriage to George Peppard ended.
-
B.
startTimeOfMarriageWithJohnAstin
Indicates the point in time when a marriage involving John Astin began.
-
C.
startTimeOfMarriageToGeorgeHamilton
Indicates the date and time when an individual’s marriage to George Hamilton began.
-
D.
startTimeOfMarriageToErrolFlynn
Indicates the date and time when a person’s marriage to Errol Flynn began.
-
E.
startTimeOfMarriageWithBuzzAldrin
Indicates the date and time when an individual's marriage to Buzz Aldrin began.
- 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_69e75a8e0f688190a7aebe9a4815e25b |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f622abdfac8190988421c946411d7e |
completed | May 2, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621fbfc2c8190bfa802d7dc0f6aa4 |
completed | May 2, 2026, 4:10 p.m. |
Created at: April 21, 2026, 1:04 p.m.