Triple

T6333952
Position Surface form Disambiguated ID Type / Status
Subject Joseph Cooper E142445 entity
Predicate associatedWith P37 FINISHED
Object Romilly E574376 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: Romilly | Statement: [Joseph Cooper, associatedWith, Romilly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romilly
Context triple: [Joseph Cooper, associatedWith, Romilly]
  • A. Romilly chosen
    Romilly is a scientist and astronaut who serves as a crewmember on the interstellar mission in the film "Interstellar."
  • B. Romilly
    Romilly is the middle name of Gaia Romilly Wise, the daughter of British actress Emma Thompson and actor Greg Wise.
  • C. Senlis
    Senlis is a historic town in northern France known for its medieval architecture and its role in events such as the 14th-century Jacquerie peasant revolt.
  • D. Noviomagus
    Noviomagus is an ancient Roman place-name used for several settlements in the western provinces of the Roman Empire, notably including the town later known as Ulpia Noviomagus Batavorum (modern Nijmegen in the Netherlands).
  • E. Romsey
    Romsey is a historic market town in Hampshire, England, known for its medieval abbey and riverside setting.
  • 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06549084c8190b73fd94c9e0cb302 completed March 22, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c60424a5dc8190820970fce13776ac completed March 27, 2026, 4:14 a.m.
Created at: March 22, 2026, 4:30 p.m.