Triple

T15092809
Position Surface form Disambiguated ID Type / Status
Subject Allentown E360462 entity
Predicate namedAfter P63 FINISHED
Object William Allen E809700 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: William Allen | Statement: [Allentown, namedAfter, William Allen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Allen
Context triple: [Allentown, namedAfter, William Allen]
  • A. William Allen
    William Allen was a 16th-century English Cardinal and leading Catholic figure who played a key role in the Counter-Reformation and the support of English Catholic exiles.
  • B. William Allen
    William Allen is a songwriter known for his work on the musical score for the 2004 film "If."
  • C. William Allen chosen
    William Allen was an 18th-century colonial-era merchant, lawyer, and Chief Justice of Pennsylvania who became one of the colony’s wealthiest and most influential figures.
  • D. William Frederick Allen
    William Frederick Allen was a 19th-century American civil engineer and railroad executive best known for helping standardize North American railway time.
  • E. Andrew Ellicott
    Andrew Ellicott was an American surveyor and cartographer known for his work mapping the boundaries of the early United States, including completing the survey of the District of Columbia.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0027925788190b955fdc6626adf7d completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7e47b20819084145008474f47b7 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:04 a.m.