Triple

T8149934
Position Surface form Disambiguated ID Type / Status
Subject Celebration series E190307 entity
Predicate notableWork P4 FINISHED
Object Play-Doh E190309 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: Play-Doh | Statement: [Celebration series, notableWork, Play-Doh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Play-Doh
Context triple: [Celebration series, notableWork, Play-Doh]
  • A. Play-Doh chosen
    Play-Doh is a colorful modeling compound primarily used by children for arts and crafts, known for its soft, malleable texture and distinctive smell.
  • B. Elmer's
    Elmer's is a well-known American brand best recognized for its school and craft glues and other adhesive products.
  • C. Napalm & Silly Putty
    Napalm & Silly Putty is a 2001 humor book by comedian George Carlin that collects his sharp, irreverent observations and social commentary in written form.
  • D. Brick
    Brick is a 2005 neo-noir mystery film set in a high school, written and directed by Rian Johnson and featuring Lukas Haas in a prominent role.
  • E. Playdots
    Playdots is a mobile game development studio best known for creating the minimalist puzzle games Dots, Two Dots, and Dots & Co.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb447fc4308190b9436b0fe51a70a5 completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbeef189081909f45b8d2aea74225 completed April 1, 2026, 6:45 a.m.
Created at: March 30, 2026, 5:37 p.m.