Triple

T772252
Position Surface form Disambiguated ID Type / Status
Subject Detroit Three E16306 entity
Predicate formerMemberName P18998 FINISHED
Object Chrysler E27723 NE FINISHED

How this triple was built (3 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: Chrysler | Statement: [Detroit Three, formerMemberName, Chrysler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chrysler
Context triple: [Detroit Three, formerMemberName, Chrysler]
  • A. Chrysler chosen
    Chrysler is a major American automobile manufacturer, historically recognized as one of the United States' "Big Three" car companies alongside General Motors and Ford.
  • B. Dodge
    Dodge is an American automotive brand best known for its performance-oriented cars, muscle vehicles, and trucks.
  • C. Jeep
    Jeep is an American automotive marque best known for its rugged sport utility vehicles and off-road capable 4x4s.
  • D. DeSoto
    DeSoto is a suburban city in the Dallas–Fort Worth metropolitan area in North Texas.
  • E. Pontiac
    Pontiac was an American automobile marque known for its performance-oriented cars and sporty image, produced by General Motors until its discontinuation in 2010.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerMemberName
Context triple: [Detroit Three, formerMemberName, Chrysler]
  • A. formerName
    Indicates that an entity was previously known by a different name in the past.
  • B. formerMemberOf
    Indicates that an entity once belonged to or was affiliated with a group, organization, or body, but is no longer a member.
  • C. predecessorName
    Indicates that the value is the name of an entity that directly precedes another in an ordered sequence or lineage.
  • D. formerDesignation
    Indicates that an entity previously held a particular title, role, or designation that it no longer holds.
  • E. formerDirector
    Indicates that one entity previously held the position of director of the other entity but no longer does.
  • F. None of above. chosen

Provenance (5 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a706abf88190a1cbc2dfbbf9968a completed March 1, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a792851cc481908d019836ff98d46d completed March 4, 2026, 2:01 a.m.
PD Predicate disambiguation batch_69a4a508c42c8190850a0ac7844a3ea9 completed March 1, 2026, 8:43 p.m.
PDg Predicate description generation batch_69a4a5a35c68819082429755c046e9a7 completed March 1, 2026, 8:46 p.m.
Created at: March 1, 2026, 7:37 p.m.