Triple

T10143565
Position Surface form Disambiguated ID Type / Status
Subject Skyler Gisondo E231645 entity
Predicate name P16 FINISHED
Object Skyler Gisondo E231645 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: Skyler Gisondo | Statement: [Skyler Gisondo, name, Skyler Gisondo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skyler Gisondo
Context triple: [Skyler Gisondo, name, Skyler Gisondo]
  • A. Skyler Gisondo chosen
    Skyler Gisondo is an American actor known for his comedic and dramatic roles in film and television, including appearances in projects like Vacation, Santa Clarita Diet, and The Righteous Gemstones.
  • B. Skyler Skjelset
    Skyler Skjelset is an American guitarist and musician best known as a founding member and lead guitarist of the indie folk band Fleet Foxes.
  • C. Skyler Stone
    Skyler Stone is an American actor and comedian known for his roles in television series such as Raising Hope and for his stand-up comedy work.
  • D. Hayden Schlossberg
    Hayden Schlossberg is an American screenwriter, director, and producer best known as a co-creator of the Harold & Kumar film series and the Cobra Kai television series.
  • E. Morgan Saylor
    Morgan Saylor is an American actress best known for her role as Dana Brody on the television series "Homeland" and for appearances in films such as "McFarland, USA."
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb28a1708190b46499dbe51a694a completed April 2, 2026, 4:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e618b0bc8190bc1d6f15dac2708e completed April 5, 2026, 10:45 p.m.
Created at: March 30, 2026, 9:07 p.m.