Triple

T12958975
Position Surface form Disambiguated ID Type / Status
Subject Tyler Hoechlin E310087 entity
Predicate name P16 FINISHED
Object Tyler Hoechlin E310087 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: Tyler Hoechlin | Statement: [Tyler Hoechlin, name, Tyler Hoechlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyler Hoechlin
Context triple: [Tyler Hoechlin, name, Tyler Hoechlin]
  • A. Tyler Hoechlin chosen
    Tyler Hoechlin is an American actor best known for roles such as Derek Hale on "Teen Wolf" and Superman/Clark Kent in the Arrowverse series.
  • B. Jason Dohring
    Jason Dohring is an American actor best known for his role as Logan Echolls on the television series "Veronica Mars."
  • C. Elliot Grey
    Elliot Grey is a fictional character from the "Fifty Shades" series, known as Christian Grey’s charming and outgoing older brother.
  • D. Vincent Kartheiser
    Vincent Kartheiser is an American actor best known for his role as ambitious ad executive Pete Campbell on the television series "Mad Men."
  • E. Ethan Embry
    Ethan Embry is an American actor known for his roles in 1990s films such as "Empire Records," "Can't Hardly Wait," and various television 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2e44908190bb8b43fc5c3b8a8a completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eacea664819096940ba4d409d264 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 5:44 p.m.