Triple

T16905554
Position Surface form Disambiguated ID Type / Status
Subject Jennifer L. Mnookin E424552 entity
Predicate familyName P18 FINISHED
Object Mnookin E424552 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: Mnookin | Statement: [Jennifer L. Mnookin, familyName, Mnookin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mnookin
Context triple: [Jennifer L. Mnookin, familyName, Mnookin]
  • A. Mnookin chosen
    Mnookin is a surname most prominently associated with Jennifer L. Mnookin, an American legal scholar and university leader.
  • B. Sattanen
    Sattanen is a small village located within the municipality of Sodankylä in Finnish Lapland.
  • C. Chisum
    Chisum is a 1970 Western film starring John Wayne that dramatizes the Lincoln County War in New Mexico.
  • D. Bowning
    Bowning is a small rural village in New South Wales, Australia, known for its historic buildings and location near the Hume Highway west of Yass.
  • E. Rollag
    Rollag is a small rural municipality in southeastern Norway known for its traditional wooden architecture and scenic valley landscapes.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3ca392ff48190ab28f0bd3e9fc376 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7b7b698819081d2e39976b69587 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:30 a.m.