Triple

T9471730
Position Surface form Disambiguated ID Type / Status
Subject Mike Faist E228407 entity
Predicate familyName P18 FINISHED
Object Faist
Faist is a surname most notably associated with American actor Mike Faist, known for his work on stage and in film.
 E800224 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: Faist | Statement: [Mike Faist, familyName, Faist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faist
Context triple: [Mike Faist, familyName, Faist]
  • A. Felindre
    Felindre is a small rural village in Wales situated within the City and County of Swansea, known for its scenic surroundings and traditional community character.
  • B. Freur
    Freur was a Welsh new wave and synth-pop band from the early 1980s that later evolved into the electronic music group Underworld.
  • C. Fearnan
    Fearnan is a small village in Perth and Kinross, Scotland, situated in the scenic Highlands near the shores of Loch Tay.
  • D. Balfrin
    Balfrin is a prominent alpine peak in the Swiss Pennine Alps, known for its glaciated slopes and location near the Mischabel range.
  • E. Eadhild
    Eadhild was a 10th-century English princess, daughter of King Edward the Elder, who became Queen of West Francia through her marriage to King Hugh the Great.
  • 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: Faist
Triple: [Mike Faist, familyName, Faist]
Generated description
Faist is a surname most notably associated with American actor Mike Faist, known for his work on stage and in film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Faist
Target entity description: Faist is a surname most notably associated with American actor Mike Faist, known for his work on stage and in film.
  • A. Felindre
    Felindre is a small rural village in Wales situated within the City and County of Swansea, known for its scenic surroundings and traditional community character.
  • B. Freur
    Freur was a Welsh new wave and synth-pop band from the early 1980s that later evolved into the electronic music group Underworld.
  • C. Fearnan
    Fearnan is a small village in Perth and Kinross, Scotland, situated in the scenic Highlands near the shores of Loch Tay.
  • D. Balfrin
    Balfrin is a prominent alpine peak in the Swiss Pennine Alps, known for its glaciated slopes and location near the Mischabel range.
  • E. Eadhild
    Eadhild was a 10th-century English princess, daughter of King Edward the Elder, who became Queen of West Francia through her marriage to King Hugh the Great.
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fef6f288190b2d158c829b31de9 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122cd0728819088f6c832cd90d832 completed April 4, 2026, 2:40 p.m.
NEDg Description generation batch_69d12350baa08190b08f619391acbd75 completed April 4, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_69d123af901c819098bb1401846f0daf completed April 4, 2026, 2:43 p.m.
Created at: March 30, 2026, 7:54 p.m.