Triple

T16698326
Position Surface form Disambiguated ID Type / Status
Subject The Big Shot E405776 entity
Predicate hasCastMember P2308 FINISHED
Object Stanley Ridges E448318 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: Stanley Ridges | Statement: [The Big Shot, hasCastMember, Stanley Ridges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley Ridges
Context triple: [The Big Shot, hasCastMember, Stanley Ridges]
  • A. Stanley Ridges chosen
    Stanley Ridges was a British-born character actor known for his versatile supporting roles in classic Hollywood films of the 1930s and 1940s.
  • B. Stanley Ralph
    Stanley Ralph is the son of American actress and singer Sheryl Lee Ralph.
  • C. Stanley Savige
    Stanley Savige was an Australian Army lieutenant general and World War II corps commander noted for his leadership in the Pacific theatre and his earlier service at Gallipoli and on the Western Front in World War I.
  • D. Stanley Argyle
    Stanley Argyle was an Australian politician who served as the Premier of Victoria in the early 1930s.
  • E. Stanley Neale
    Stanley Neale was an English cricketer who played first-class cricket in the early 20th century.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3832f550c8190bf7514d4611dec6a completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ec7a4a48190802061e5cd634ea3 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:19 a.m.