Triple

T16636637
Position Surface form Disambiguated ID Type / Status
Subject Alex Ross E404221 entity
Predicate name P16 FINISHED
Object Alex Ross E404221 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: Alex Ross | Statement: [Alex Ross, name, Alex Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alex Ross
Context triple: [Alex Ross, name, Alex Ross]
  • A. Alex Ross (illustrator) chosen
    Alex Ross is an American comic book artist renowned for his realistic, painterly style on works such as "Marvels" and "Kingdom Come."
  • B. Charles Goodsell
    Charles Goodsell was a notable figure associated with Carleton College whose contributions to the institution led to the campus observatory being named in his honor.
  • C. Victor Melling
    Victor Melling is a refined, exacting beauty pageant coach and mentor featured in the comedy film "Miss Congeniality."
  • D. LeRoy Neiman
    LeRoy Neiman was a prolific American artist best known for his vibrantly colored, expressionistic paintings and sketches of sporting events and celebrity culture.
  • E. David Catlin
    David Catlin is an American theatre artist and director best known as a founding member and longtime ensemble member of Chicago’s Lookingglass Theatre Company.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378ea4b848190bf7c95dad8a855f0 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dc28df48190b01c1328df24df60 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.