Triple
T9227419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willis H. O’Brien |
E221720
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Darlene Pratt |
E221720
|
NE 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: Darlene Pratt | Statement: [Willis H. O’Brien, spouse, Darlene Pratt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darlene Pratt Context triple: [Willis H. O’Brien, spouse, Darlene Pratt]
-
A.
Darlene Pratt
chosen
Darlene Pratt was the wife of pioneering stop-motion animator and special effects artist Willis H. O’Brien.
-
B.
Darlene Hooley
Darlene Hooley is an American politician and former U.S. Representative who served Oregon in Congress as a member of the Democratic Party.
-
C.
Diane Millstead
Diane Millstead is an Australian academic and writer best known as the former wife of comedian and satirist Barry Humphries.
-
D.
Marilee Earle
Marilee Earle is an actress best known for her role in the 1958 Western film "Terror in a Texas Town."
-
E.
Mary Jo Tarola
Mary Jo Tarola, better known by her stage name Linda Douglas, was an American film actress who appeared in several Hollywood productions during the 1950s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccdaa0a7608190b10d913e5e3d1b3e |
completed | April 1, 2026, 8:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6523db338819088e2fadf346ad845 |
completed | April 8, 2026, 1:03 p.m. |
Created at: March 30, 2026, 7:28 p.m.