Triple

T2735105
Position Surface form Disambiguated ID Type / Status
Subject Will H. Hays E60611 entity
Predicate familyName P18 FINISHED
Object Hays
Hays is a surname most notably associated with Will H. Hays, the American politician and film industry figure behind the early Hollywood production code.
 E292329 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: Hays | Statement: [Will H. Hays, familyName, Hays]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hays
Context triple: [Will H. Hays, familyName, Hays]
  • A. Hays, Kansas
    Hays, Kansas is a regional city in northwestern Kansas known as a commercial, educational, and medical hub, home to Fort Hays State University and rich frontier history.
  • B. Hutchinson
    Hutchinson is a common English surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • C. Hutchinson
    Hutchinson is a long-established British publishing house known for producing a wide range of fiction and non-fiction titles.
  • D. سيبويه
    سيبويه هو نحوي ولغوي بصري من القرن الثاني الهجري يُعد من أبرز أئمة النحو العربي ومؤلف كتاب "الكتاب" الذي يُعد من أهم المراجع في النحو واللغة.
  • E. Salina
    Salina is a volcanic island in Italy's Aeolian archipelago, known for its lush landscapes, twin extinct volcanoes, and production of Malvasia wine.
  • 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: Hays
Triple: [Will H. Hays, familyName, Hays]
Generated description
Hays is a surname most notably associated with Will H. Hays, the American politician and film industry figure behind the early Hollywood production code.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hays
Target entity description: Hays is a surname most notably associated with Will H. Hays, the American politician and film industry figure behind the early Hollywood production code.
  • A. Hays, Kansas
    Hays, Kansas is a regional city in northwestern Kansas known as a commercial, educational, and medical hub, home to Fort Hays State University and rich frontier history.
  • B. Hutchinson
    Hutchinson is a common English surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • C. Hutchinson
    Hutchinson is a long-established British publishing house known for producing a wide range of fiction and non-fiction titles.
  • D. سيبويه
    سيبويه هو نحوي ولغوي بصري من القرن الثاني الهجري يُعد من أبرز أئمة النحو العربي ومؤلف كتاب "الكتاب" الذي يُعد من أهم المراجع في النحو واللغة.
  • E. Salina
    Salina is a volcanic island in Italy's Aeolian archipelago, known for its lush landscapes, twin extinct volcanoes, and production of Malvasia wine.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb1022488190af84e536946b2e37 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb6a37fdc8190bcdb33d7352d9e16 completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb734d7b08190aeb95e8a9199fb10 completed March 10, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69afb7c2b9d08190bce599c364d809b7 completed March 10, 2026, 6:18 a.m.
Created at: March 6, 2026, 9:56 p.m.