Triple

T6013206
Position Surface form Disambiguated ID Type / Status
Subject Prattville E133883 entity
Predicate namedAfter P63 FINISHED
Object Daniel Pratt E570133 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: Daniel Pratt | Statement: [Prattville, namedAfter, Daniel Pratt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Pratt
Context triple: [Prattville, namedAfter, Daniel Pratt]
  • A. Daniel Pratt chosen
    Daniel Pratt was a 19th-century American industrialist and cotton gin manufacturer who became one of Alabama’s leading entrepreneurs and the founder of the town of Prattville.
  • B. Roger Pratt
    Roger Pratt is a British cinematographer known for his work on major films such as "Brazil," "Batman," and several entries in the "Harry Potter" series.
  • C. Peter Pratt
    Peter Pratt was a British actor best known to Doctor Who fans for his chilling portrayal of the villainous Time Lord known as the Master.
  • D. Daniel Barton
    Daniel Barton is a powerful tech magnate and covert MI6 double agent who serves as a primary antagonist in the Doctor Who episode "Spyfall."
  • E. Richard Bristow
    Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f528acc8190bc6943d812460b57 completed March 22, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c14143bf008190ba804ae094ffb71c completed March 23, 2026, 1:33 p.m.
Created at: March 22, 2026, 4:06 p.m.