Triple

T16128124
Position Surface form Disambiguated ID Type / Status
Subject Larry Silverstein E391324 entity
Predicate familyName P18 FINISHED
Object Silverstein E491037 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: Silverstein | Statement: [Larry Silverstein, familyName, Silverstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silverstein
Context triple: [Larry Silverstein, familyName, Silverstein]
  • A. Silverstein chosen
    Silverstein is a surname most famously associated with Shel Silverstein, the American poet, songwriter, and author of beloved children's books such as "The Giving Tree."
  • B. Silverman
    Silverman is a surname most prominently associated with American comedian, actress, and writer Sarah Silverman.
  • C. Steinman
    Steinman is a surname most notably associated with David B. Steinman, an influential American civil engineer and bridge designer.
  • D. Steig
    Steig is a surname most notably associated with American cartoonist and children's book author William Steig, creator of "Shrek!".
  • E. Zaillian
    Zaillian is the surname of Steven Zaillian, the acclaimed American screenwriter, director, and producer known for films such as Schindler’s List and Moneyball.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20206a6f08190aa648d2bb11e7878 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2adf5848190a1dd58bc76dd4ffd completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5 a.m.