Triple

T22750522
Position Surface form Disambiguated ID Type / Status
Subject Douglas Fowley E562681 entity
Predicate notableWork P4 FINISHED
Object Battleground NE NERFINISHED

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: [Douglas Fowley, notableWork, Battleground]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Battleground
Context triple: [Douglas Fowley, 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. Battleground
    "Battleground" is the second studio album by British-Irish boy band The Wanted, featuring pop and dance-pop tracks that helped solidify their mainstream success.
  • C. Batalla
    Batalla is a Spanish-language surname borne by various individuals, including the Argentine footballer Pablo Batalla.
  • D. Batalha
    Batalha is a Portuguese town best known for its UNESCO-listed Batalha Monastery, a masterpiece of Gothic and Manueline architecture.
  • E. Battles
    Battles is an American experimental rock band known for its complex, rhythmically intricate compositions and innovative use of looping and electronics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b8e9408190b251700d3386a1b9 completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:24 p.m.