Triple

T168982
Position Surface form Disambiguated ID Type / Status
Subject Michael Strahan E3076 entity
Predicate givenName P17 FINISHED
Object Michael
Michael is a common masculine given name of Hebrew origin meaning "Who is like God?"
 E21023 NE FINISHED

How this triple was built (4 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 | Statement: [Michael Strahan, givenName, Michael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael
Context triple: [Michael Strahan, givenName, Michael]
  • A. King
    King is a common English surname borne by numerous notable figures, including civil rights leader Martin Luther King Jr.
  • B. John
    John H. Sununu is an American politician and engineer who served as Governor of New Hampshire and later as White House Chief of Staff under President George H. W. Bush.
  • C. John
    John is the given name of John Bardeen, the American physicist who uniquely won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
  • D. Christopher
    Christopher is the full given name of Chris Sununu, an American politician who has served as governor of New Hampshire.
  • E. Stephen
    Stephen is the middle name of Harold Stephen Black, an American electrical engineer known for inventing the negative feedback amplifier.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Michael
Triple: [Michael Strahan, givenName, Michael]
Generated description
Michael is a common masculine given name of Hebrew origin meaning "Who is like God?"
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael
Target entity description: Michael is a common masculine given name of Hebrew origin meaning "Who is like God?"
  • A. King
    King is a common English surname borne by numerous notable figures, including civil rights leader Martin Luther King Jr.
  • B. John
    John H. Sununu is an American politician and engineer who served as Governor of New Hampshire and later as White House Chief of Staff under President George H. W. Bush.
  • C. John
    John is the given name of John Bardeen, the American physicist who uniquely won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
  • D. Christopher
    Christopher is the full given name of Chris Sununu, an American politician who has served as governor of New Hampshire.
  • E. Stephen
    Stephen is the middle name of Harold Stephen Black, an American electrical engineer known for inventing the negative feedback amplifier.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258b6f4f88190b1264bbbeb19a29e completed Feb. 28, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2e0f8bf748190b2752f250a63d8e3 completed Feb. 28, 2026, 12:35 p.m.
NEDg Description generation batch_69a2e16a3c088190a7ed30c60da89e6e completed Feb. 28, 2026, 12:36 p.m.
NED2 Entity disambiguation (via description) batch_69a2e2a9c8608190a65a4a3b80cd6970 completed Feb. 28, 2026, 12:42 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.