Triple

T6412766
Position Surface form Disambiguated ID Type / Status
Subject John Hersey E127747 entity
Predicate notableWork P4 FINISHED
Object The Wall E118733 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: The Wall | Statement: [John Hersey, notableWork, The Wall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Wall
Context triple: [John Hersey, notableWork, The Wall]
  • A. The Wall
    The Wall is the towering left-field wall at Fenway Park in Boston, famously known for challenging hitters and shaping the ballpark’s unique character.
  • B. The Wall chosen
    The Wall is the iconic black granite centerpiece of the Vietnam Veterans Memorial in Washington, D.C., inscribed with the names of U.S. service members who died or went missing in the Vietnam War.
  • C. The Wall
    The Wall is a colossal ice fortification in the Game of Thrones universe that separates the Seven Kingdoms from the dangerous, supernatural threats of the far North.
  • D. The Wall
    The Wall is a landmark 1979 rock opera album by Pink Floyd that explores themes of isolation, trauma, and alienation through a cohesive narrative.
  • E. The Wall
    The Wall is a 2017 American war thriller film directed by Doug Liman that centers on two U.S. soldiers pinned down by an Iraqi sniper behind a crumbling wall.
  • 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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068d228208190ba05eeb7707482fe completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640c48e688190981a19ce5eb2af44 completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:42 p.m.