Triple

T9372135
Position Surface form Disambiguated ID Type / Status
Subject America E225554 entity
Predicate notableWork P4 FINISHED
Object Tin Man E49489 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: Tin Man | Statement: [America, notableWork, Tin Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tin Man
Context triple: [America, notableWork, Tin Man]
  • A. The Tin Man chosen
    The Tin Man is a beloved fictional character from L. Frank Baum’s Oz stories, best known as the heart-seeking, metal woodsman who journeys with Dorothy to see the Wizard.
  • B. The Scarecrow
    The Scarecrow is a beloved fictional figure from L. Frank Baum’s Oz stories, known for his quest for a brain and his role as one of Dorothy’s loyal companions.
  • C. The Scarecrow
    The Scarecrow is a crime novel by Michael Connelly featuring journalist Jack McEvoy investigating a serial killer who exploits digital technology to stalk his victims.
  • D. The Tin Men
    The Tin Men is a satirical science fiction novel by Michael Frayn that humorously explores artificial intelligence, bureaucracy, and the mechanization of human life.
  • E. The Wizard of Oz (character)
    The Wizard of Oz (character) is the enigmatic and ultimately ordinary man from L. Frank Baum’s Oz stories who poses as a powerful wizard while secretly being a humbug from Kansas.
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50852a388190be936df1382216bc completed April 1, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f41a6ca4819092bae8640136e964 completed April 4, 2026, 11:20 a.m.
Created at: March 30, 2026, 7:43 p.m.