Triple

T12910711
Position Surface form Disambiguated ID Type / Status
Subject Benjamin Pickman Mann E308854 entity
Predicate given name P17 FINISHED
Object Pickman E756527 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: Pickman | Statement: [Benjamin Pickman Mann, given name, Pickman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pickman
Context triple: [Benjamin Pickman Mann, given name, Pickman]
  • A. Pickman chosen
    Pickman is a ghoul-like character from H. P. Lovecraft’s Cthulhu Mythos, originally a Boston artist obsessed with grotesque subjects who later appears as a guide and ally in the dreamlands.
  • B. John Black
    John Black is a long-running, central character on the American soap opera "Days of Our Lives," known for his complex past, shifting identities, and dramatic romances.
  • C. John Black
    John Black is a television director best known for his work on the Doctor Who spin-off special "K-9 and Company."
  • D. John Black
    John Black is a cryptographer and computer scientist known for his research in symmetric-key cryptography and collaboration with fellow cryptographer Phillip Rogaway.
  • E. Point Misery
    Point Misery is a notable peak or high point within North Carolina’s rugged Black Mountains range, known for its steep, challenging terrain and scenic Appalachian vistas.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719e584c81909be1ac1366effca0 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a56b50b48190a0deefd491ed8c4a completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:41 p.m.