Triple

T20837519
Position Surface form Disambiguated ID Type / Status
Subject Thomas Clark E512997 entity
Predicate canBeShortenedTo P32259 FINISHED
Object Tom 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: Tom | Statement: [Thomas Clark, canBeShortenedTo, Tom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom
Context triple: [Thomas Clark, canBeShortenedTo, Tom]
  • A. Tom chosen
    Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
  • B. TOM
    TOM is the IATA airport code for Timbuktu Airport in Mali.
  • C. TOM
    TOM is the ICAO airline designator used to identify TUI Airways in international aviation operations.
  • D. TOM
    TOM is the National Rail station code assigned to Tottenham Hale railway station in London, England.
  • E. Tim
    Tim is the first name of American actor, writer, and director Tim Blake Nelson, known for his roles in films like "O Brother, Where Art Thou?" and "The Ballad of Buster Scruggs."
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3280a1881909a86d1fe498aee50 completed April 21, 2026, 12:22 a.m.
Created at: April 16, 2026, 12:42 p.m.