Triple

T4386929
Position Surface form Disambiguated ID Type / Status
Subject Infoseek E99264 entity
Predicate hasKeyPerson P256 FINISHED
Object Steve Kirsch E439469 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: Steve Kirsch | Statement: [Infoseek, hasKeyPerson, Steve Kirsch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Kirsch
Context triple: [Infoseek, hasKeyPerson, Steve Kirsch]
  • A. Steve Kirsch chosen
    Steve Kirsch is an American entrepreneur and inventor best known for founding multiple technology companies, including the early internet search engine Infoseek.
  • B. Kirk Schulz
    Kirk Schulz is an American academic leader and engineer who serves as the president of Washington State University.
  • C. Jeff Kirschenbaum
    Jeff Kirschenbaum is a Hollywood film producer known for working on major studio features, including big-budget family and action movies.
  • D. Russ Titelman
    Russ Titelman is an American record producer and songwriter known for his work with major artists across rock and pop music, including collaborations with the likes of Eric Clapton and George Harrison.
  • E. Mike Krieger
    Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
  • 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352669f608190b3aa7030d8073e04 completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6374a22c88190ba36ddb180634573 completed March 15, 2026, 4:36 a.m.
Created at: March 12, 2026, 11:19 p.m.