Triple

T16486669
Position Surface form Disambiguated ID Type / Status
Subject Tish Jones E400462 entity
Predicate appearsInEpisode P795 FINISHED
Object Smith and Jones E1090727 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: Smith and Jones | Statement: [Tish Jones, appearsInEpisode, Smith and Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smith and Jones
Context triple: [Tish Jones, appearsInEpisode, Smith and Jones]
  • A. Smith and Jones chosen
    "Smith and Jones" is a 2007 Doctor Who episode that introduces Martha Jones as the Tenth Doctor’s new companion in an adventure set on the Moon.
  • B. Jetté and Jones
    Jetté and Jones are linguists known for their descriptive work on the Koyukon Athabaskan language.
  • C. Aylott and Jones
    Aylott and Jones was a 19th-century London publishing firm known for issuing early Pre-Raphaelite works, including the short-lived literary magazine *The Germ*.
  • D. Mr. Jones
    "Mr. Jones" is a hit alternative rock song by Counting Crows, known for its introspective lyrics about fame, dreams, and identity.
  • E. Mr. Jones
    Mr. Jones is a 2019 historical drama film directed by Agnieszka Holland about Welsh journalist Gareth Jones’s investigation into the Holodomor famine in Soviet Ukraine.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e078d0c8190a5698a5eb9df22d4 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00582275308190a0fb3944d74916cf completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:13 a.m.