Triple

T14301117
Position Surface form Disambiguated ID Type / Status
Subject Invasion of the Bane E354563 entity
Predicate writer P1360 FINISHED
Object Phil Ford E1091483 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: Phil Ford | Statement: [Invasion of the Bane, writer, Phil Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Ford
Context triple: [Invasion of the Bane, writer, Phil Ford]
  • A. Phil Ford chosen
    Phil Ford is a British television writer and producer best known for his work on Doctor Who and its spin-off series The Sarah Jane Adventures.
  • B. Danny Ford
    Danny Ford is an American football coach best known for leading the Clemson Tigers to the 1981 national championship and becoming one of the program’s most successful head coaches.
  • C. Thomas Ford
    Thomas Ford was an American politician who served as the eighth governor of Illinois from 1842 to 1846.
  • D. Benson Ford
    Benson Ford was an American businessman and prominent member of the Ford family who held executive roles at Ford Motor Company in the mid-20th century.
  • E. Ben Ford
    Ben Ford is an American chef and restaurateur, known for his rustic, wood-fired cooking and as the son of actor Harrison Ford.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717fc2348190bb6ba3109bd2871f completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4682f86881908c9fb210bb9e486a completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:11 a.m.