Triple

T11207078
Position Surface form Disambiguated ID Type / Status
Subject Brad Lander E265196 entity
Predicate familyName P18 FINISHED
Object Lander E868563 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: Lander | Statement: [Brad Lander, familyName, Lander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lander
Context triple: [Brad Lander, familyName, Lander]
  • A. Lander chosen
    Lander is a surname most notably associated with Frederick W. Lander, a 19th-century American civil engineer, explorer, and Union Army general.
  • B. The Valley of the Moon
    The Valley of the Moon is a 1913 novel by American author Jack London that follows a working-class couple’s search for a better life in the rural landscapes of California.
  • C. Stevenson Landing
    Stevenson Landing is a marina and docking facility on the Columbia River serving the city of Stevenson in Washington State.
  • D. Cassin
    Cassin is a French surname most notably borne by René Cassin, a Nobel Peace Prize–winning jurist and co-author of the Universal Declaration of Human Rights.
  • E. Gwynne
    Gwynne is a surname of Welsh origin borne by various notable individuals, including actors, writers, and public figures.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d4eef88190a7f05bca82d919b9 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4973a1b288190bacdf56f8d4977bd completed April 19, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:30 p.m.