Triple
T22065247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Jay Gould |
E545250
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Gloria 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: Gloria Gould | Statement: [George Jay Gould, child, Gloria Gould]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gloria Gould Context triple: [George Jay Gould, child, Gloria Gould]
-
A.
Gloria Gould
chosen
Gloria Gould was an American socialite and heiress of the prominent Gould family, known for her role in early 20th-century high society.
-
B.
Gloria Talbott
Gloria Talbott was an American film and television actress known for her roles in 1950s melodramas and science fiction films.
-
C.
Lois Gould
Lois Gould was an American novelist and feminist writer known for her sharp social commentary on gender roles and contemporary relationships.
-
D.
Marjorie Weaver
Marjorie Weaver was an American film actress of the 1930s and 1940s, known for her roles in Hollywood studio productions including several notable dramas and comedies.
-
E.
Mildred Gordon
Mildred Gordon was an American screenwriter best known for her work on mid-20th-century Hollywood films, including family-oriented comedies.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12882ab3c819095b61e0a341edfdf |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:27 p.m.