Triple

T19995613
Position Surface form Disambiguated ID Type / Status
Subject Jellicle cats E494183 entity
Predicate hasMember P10 FINISHED
Object Etcetera 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: Etcetera | Statement: [Jellicle cats, hasMember, Etcetera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etcetera
Context triple: [Jellicle cats, hasMember, Etcetera]
  • A. Etcetera chosen
    "Etcetera" is a track from the album "R." by South Korean singer and songwriter Kim Ryeowook.
  • B. Etal
    Etal is a small historic village in Northumberland, England, known for its medieval castle and picturesque setting near the River Till.
  • C. Etal
    Etal is one of the main atoll islands of the Mortlock Islands in the Federated States of Micronesia, known for its traditional Micronesian culture and remote Pacific setting.
  • D. The Esses
    The Esses is a challenging downhill sequence of tight, twisting corners at Mount Panorama Circuit that tests drivers' precision and car balance during the Bathurst 1000.
  • E. The Esses
    The Esses is a challenging high-speed sequence of S‑bends at the Kyalami Grand Prix Circuit that tests drivers’ precision and car balance.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe3fb288190a935c334e8a5d54e completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:31 p.m.