Triple

T10528331
Position Surface form Disambiguated ID Type / Status
Subject Tavis Smiley E248365 entity
Predicate familyName P18 FINISHED
Object Smiley E778081 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: Smiley | Statement: [Tavis Smiley, familyName, Smiley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smiley
Context triple: [Tavis Smiley, familyName, Smiley]
  • A. Smiley chosen
    Smiley is a surname most notably associated with American novelist Jane Smiley, known for her Pulitzer Prize–winning work.
  • B. Smiley Face
    Smiley Face is a 2007 stoner comedy film starring Anna Faris as an out-of-work actress who embarks on a chaotic, marijuana-fueled day in Los Angeles.
  • C. Smiley Smile
    Smiley Smile is a 1967 studio album by the Beach Boys, noted for its minimalist, lo-fi reworking of material from the abandoned Smile project.
  • D. Eyeball Paul
    Eyeball Paul is a fictional, hard-partying DJ and comic antagonist from the British comedy film "Kevin & Perry Go Large."
  • E. Happy Face
    Happy Face is a notable component or feature associated with the reality TV show "Survivor," likely referring to a specific symbol, icon, or named element within the series.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f6f4a88190ae6e0cc0bcbff0c5 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e31350c8190a7493cdc33cc450a completed April 10, 2026, 2:50 p.m.
Created at: April 6, 2026, 12:30 p.m.