Triple

T15385320
Position Surface form Disambiguated ID Type / Status
Subject Finn E367901 entity
Predicate stormtrooperDesignation P28510 FINISHED
Object FN-2187 E367910 NE FINISHED

How this triple was built (3 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, stormtrooperDesignation, FN-2187]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FN-2187
Context triple: [Finn, stormtrooperDesignation, 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. FR-82
    FR-82 is the ISO 3166-2 code designating the French department of Tarn-et-Garonne in the Occitanie region of southern France.
  • C. FL-2
    FL-2 is the abbreviation for Florida's 2nd congressional district, a U.S. House of Representatives district covering part of the Florida Panhandle.
  • D. FuG 220
    FuG 220 was a German World War II airborne radar system used primarily by night fighters to detect and intercept enemy aircraft.
  • E. Jenefar
    Jenefar is an alternative spelling of the given name Jennifer, typically used as a feminine first name.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stormtrooperDesignation
Context triple: [Finn, stormtrooperDesignation, FN-2187]
  • A. usArmyDesignation
    Indicates the specific designation or code assigned to something by the United States Army.
  • B. typeOfRebel
    Indicates that one entity is a rebel belonging to, or classified under, a particular type or category of rebellion.
  • C. usesStarfighter
    Indicates that one entity operates or employs a starfighter as its vehicle, tool, or means of transportation or combat.
  • D. hasMilitaryDesignation chosen
    Indicates that an entity is assigned a specific military-related code, title, or classification.
  • E. soldierCaste
    Indicates that an entity belongs to, or is characterized as part of, a soldier or warrior class within a social or organizational hierarchy.
  • F. None of above.

Provenance (4 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e74ff70819094c1a85f51d6e228 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1349bad48190a31c50a0c5104128 completed May 9, 2026, 10:58 a.m.
PD Predicate disambiguation batch_69ded27742a881909cd73cc5c7d062fd completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:19 a.m.