Triple
T11008696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gale Robbins |
E260187
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gale Robbins |
E260187
|
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: Gale Robbins | Statement: [Gale Robbins, name, Gale Robbins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gale Robbins Context triple: [Gale Robbins, name, Gale Robbins]
-
A.
Gale Robbins
chosen
Gale Robbins was an American actress and singer known for her supporting roles in 1940s–1950s Hollywood musicals and comedies.
-
B.
Meryl Silverburgh
Meryl Silverburgh is a skilled and determined special operations soldier in the Metal Gear video game series, known for her close ties to Solid Snake and her prominent role in its military and political conflicts.
-
C.
Gale Howard
Gale Howard is best known as the wife of English actor and political activist Tony Booth.
-
D.
Dolores Fuller
Dolores Fuller was an American actress, songwriter, and longtime muse and partner of cult filmmaker Ed Wood, known for her roles in his low-budget films and for writing songs recorded by Elvis Presley.
-
E.
Ruth Wells
Ruth Wells was the wife of three-time Academy Award–winning American character actor Walter Brennan.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978810208190b8e2966ae67b6314 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a97587708190bf31976a3fbc1015 |
completed | April 18, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:25 p.m.