Triple

T3538051
Position Surface form Disambiguated ID Type / Status
Subject Finn E74813 entity
Predicate designation P38 FINISHED
Object FN-2187 E367910 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: FN-2187 | Statement: [Finn, designation, FN-2187]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FN-2187
Context triple: [Finn, designation, FN-2187]
  • A. FN-2187 chosen
    FN-2187 is the stormtrooper designation of Finn, the former First Order soldier who defects to join the Resistance in the Star Wars sequel trilogy.
  • B. Jenefar
    Jenefar is an alternative spelling of the given name Jennifer, typically used as a feminine first name.
  • C. F-2
    F-2 is a three-quarter-ton model in Ford’s first-generation postwar F-Series pickup truck lineup, positioned between the lighter F-1 and heavier F-3 trucks.
  • D. F82
    F82 is the pennant number assigned to HMS Sikh, a British Royal Navy Tribal-class destroyer that served during the Second World War.
  • E. FR-77
    FR-77 is the ISO 3166-2 code designating the French department of Seine-et-Marne in the Île-de-France region.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcc928248190b851f8280d58cfcf completed March 8, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb8b7fac81908c18d3f868aeba44 completed March 13, 2026, 7:23 a.m.
Created at: March 8, 2026, 3:20 p.m.