Triple
T16928469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Lawford |
E410638
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Deborah Gould |
—
|
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: Deborah Gould | Statement: [Peter Lawford, spouse, Deborah Gould]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deborah Gould Context triple: [Peter Lawford, spouse, Deborah Gould]
-
A.
Deborah Gould
chosen
Deborah Gould is best known as a former wife of British-American actor and Rat Pack member Peter Lawford.
-
B.
Deborah Dudley
Deborah Dudley was a daughter of Thomas Dudley, the colonial governor of Massachusetts Bay Colony, and a member of his prominent Puritan family in early New England.
-
C.
Deborah Myers
Deborah Myers is a character in Rob Zombie’s 2007 remake of Halloween, portrayed as Michael Myers’ troubled mother whose tragic life and death help explain his descent into violence.
-
D.
Deborah Gillespie
Deborah Gillespie is an American woman best known as the longtime wife and widow of rock singer and actor Meat Loaf.
-
E.
Deborah Reed
Deborah Reed is best known as the wife of American actor Ving Rhames.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdf3fc3c8190a884f7ecd5c47adb |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 5:30 a.m.