Triple

T9659592
Position Surface form Disambiguated ID Type / Status
Subject Target with Four Faces E233553 entity
Predicate title P38 FINISHED
Object Target with Four Faces E233553 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: Target with Four Faces | Statement: [Target with Four Faces, title, Target with Four Faces]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Target with Four Faces
Context triple: [Target with Four Faces, title, Target with Four Faces]
  • A. Target with Four Faces chosen
    Target with Four Faces is a 1955 mixed-media painting by Jasper Johns that combines a bullseye target motif with fragmented human faces to challenge traditional notions of representation and perception in art.
  • B. Five Hundred Faces
    Five Hundred Faces is a song featured on the album "Harrow Songs."
  • C. Two Faces
    Two Faces is a song by Bruce Springsteen from his 1987 album "Tunnel of Love," reflecting themes of inner conflict and emotional duality.
  • D. Star Four
    Star Four was an early 20th-century American automobile model produced by Durant Motors as part of its lineup of affordable cars.
  • E. The Face Painter
    "The Face Painter" is a popular episode of the sitcom "Seinfeld" centered on David Puddy's obsessive face-painting fandom at a New Jersey Devils hockey game and its impact on his relationship with Elaine.
  • 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c08d0d0819086426ad6891b18db completed April 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a0b84a0819083191beeaf8d968b completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:14 p.m.