Triple

T13117863
Position Surface form Disambiguated ID Type / Status
Subject U.S. Army 63rd Infantry Division E311141 entity
Predicate motto P42 FINISHED
Object Blood and Fire E592976 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: Blood and Fire | Statement: [U.S. Army 63rd Infantry Division, motto, Blood and Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blood and Fire
Context triple: [U.S. Army 63rd Infantry Division, motto, Blood and Fire]
  • A. Blood and Fire chosen
    Blood and Fire is the historic motto of The Salvation Army, symbolizing Christ’s atoning blood and the purifying fire of the Holy Spirit.
  • B. Fire and Glory
    Fire and Glory is a studio album by Canadian rapper Kardinal Offishall that blends dancehall, hip hop, and reggae influences.
  • C. Field of Blood
    Field of Blood is the biblical name traditionally given to the plot of land associated with Judas Iscariot’s betrayal of Jesus and his subsequent death.
  • D. Baptized in Fire
    "Baptized in Fire" is a track by Kid Cudi from his album *Passion, Pain & Demon Slayin'* that blends introspective lyrics with atmospheric, melodic production.
  • E. Baptism by Fire
    "Baptism by Fire" is a hard rock song by AC/DC from their 2014 album *Rock or Bust*.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98182011c8190a504678affbb7787 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e284c3c881909d65e2ba89fbe7af completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:06 p.m.