Triple

T17226546
Position Surface form Disambiguated ID Type / Status
Subject Project Syndicate E418127 entity
Predicate hasContributor P4244 FINISHED
Object Michael Spence E665196 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: Michael Spence | Statement: [Project Syndicate, hasContributor, Michael Spence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Spence
Context triple: [Project Syndicate, hasContributor, Michael Spence]
  • A. Michael Spence
    Michael Spence is an Australian legal scholar and university leader who has served as the head of major universities, including University College London.
  • B. Michael Spence chosen
    Michael Spence is a Nobel Prize–winning American economist best known for his work on signaling theory in markets with asymmetric information.
  • C. Karl E. Case
    Karl E. Case was an American economist best known for co-developing the widely used Case-Shiller Home Price Index that tracks U.S. residential real estate prices.
  • D. Joseph Stiglitz
    Joseph Stiglitz is a Nobel Prize–winning American economist renowned for his work on information asymmetry, inequality, and critiques of unregulated markets.
  • E. Dale T. Mortensen
    Dale T. Mortensen was an American economist and Nobel laureate renowned for his pioneering work on search and matching theory in labor economics.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42de1674c81909ca9e87fa9153640 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170ed74688190b15ef6d7e0cebe86 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:38 a.m.