Triple

T7070448
Position Surface form Disambiguated ID Type / Status
Subject George Murphy E164675 entity
Predicate notableWork P4 FINISHED
Object Battleground E136812 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: Battleground | Statement: [George Murphy, notableWork, Battleground]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Battleground
Context triple: [George Murphy, notableWork, Battleground]
  • A. Battleground chosen
    "Battleground" is a World War II drama film written by Paul Vogel that follows a besieged American infantry unit during the Battle of the Bulge.
  • B. Batalha
    Batalha is a Portuguese town best known for its UNESCO-listed Batalha Monastery, a masterpiece of Gothic and Manueline architecture.
  • C. Battle for Land
    Battle for Land was a Fascist Italy agricultural and land reclamation initiative aimed at increasing arable land and showcasing the regime’s economic and ideological strength.
  • D. Battlefield Earth
    Battlefield Earth is a 2000 science fiction film, based on L. Ron Hubbard’s novel, widely known for its critical and commercial failure and frequent citation as one of the worst movies ever made.
  • E. Battle of the Nations
    The Battle of the Nations was a major 1813 Napoleonic War engagement near Leipzig in which a coalition of European powers decisively defeated Napoleon’s forces.
  • 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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4c862f481908d1faf6ed57774f1 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7945a98108190b982ad41222333e4 completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:39 p.m.