Triple

T14818821
Position Surface form Disambiguated ID Type / Status
Subject Tommo E348388 entity
Predicate relatedNickname P3889 FINISHED
Object Tom E128299 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: Tom | Statement: [Tommo, relatedNickname, Tom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom
Context triple: [Tommo, relatedNickname, 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 ICAO airline designator used to identify TUI Airways in international aviation operations.
  • C. TOM
    TOM is the National Rail station code assigned to Tottenham Hale railway station in London, England.
  • D. 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."
  • E. Tim
    Tim is a common masculine given name used in many English-speaking countries, often as a short form of Timothy.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe4cf38819090f25ef045351d5d completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389940e081908ad627955cb8d52e completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:50 a.m.