Triple

T8668929
Position Surface form Disambiguated ID Type / Status
Subject Marc Jacobs E205746 entity
Predicate givenName P17 FINISHED
Object Marc E48930 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: Marc | Statement: [Marc Jacobs, givenName, Marc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc
Context triple: [Marc Jacobs, givenName, Marc]
  • A. Marc chosen
    Marc is the given name of Marc Andreessen, the influential American entrepreneur, software engineer, and venture capitalist known for co-creating the Mosaic web browser and co-founding Netscape and Andreessen Horowitz.
  • B. Marcus
    Marcus is a masculine given name of ancient Roman origin that has been widely used across many cultures and historical periods.
  • C. Markus
    Markus is the given first name of the renowned abstract expressionist painter Mark Rothko.
  • D. Andre
    Andre is the given name of Andre Reed, a former American football wide receiver best known for his long career with the Buffalo Bills in the NFL.
  • E. Mark
    Mark is the given name of Mark Zuckerberg, the American technology entrepreneur and co-founder of Facebook.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48a48b548190b78259072b1224ee completed March 31, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd1ca88c8190a3b2ca79a7204248 completed April 2, 2026, 8:10 p.m.
Created at: March 30, 2026, 6:31 p.m.