Triple

T177627
Position Surface form Disambiguated ID Type / Status
Subject Tumblr E3609 entity
Predicate developer P73 FINISHED
Object David Karp E22800 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: David Karp | Statement: [Tumblr, developer, David Karp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Karp
Context triple: [Tumblr, developer, David Karp]
  • A. David Karp chosen
    David Karp is an American web developer and entrepreneur best known for creating the microblogging platform Tumblr.
  • B. Jim Loscutoff
    Jim Loscutoff was an American professional basketball forward best known for his rugged defense and seven NBA championships with the Boston Celtics in the 1950s and 1960s.
  • C. Ted Wheeler
    Ted Wheeler is an American politician and member of the Democratic Party who has served as the mayor of Portland, Oregon, overseeing the city through periods of significant protest and policy debate.
  • D. Jon Jashni
    Jon Jashni is an American film and television producer and media executive known for his work on major studio genre films and for leadership roles at companies like Legendary Entertainment.
  • E. Chris Hughes
    Chris Hughes is an American entrepreneur and philanthropist best known as one of the co-founders of Facebook and a former owner of The New Republic magazine.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a258fe7bb08190a56f4a54cadd2fef completed Feb. 28, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2fa7c7a288190bc547d5e7010732b completed Feb. 28, 2026, 2:23 p.m.
Created at: Feb. 28, 2026, 2:39 a.m.