Triple

T9494612
Position Surface form Disambiguated ID Type / Status
Subject Texas State Cemetery E228972 entity
Predicate hasBurial P196 FINISHED
Object Price Daniel
Price Daniel was a mid-20th-century Texas politician who served as governor, U.S. senator, and state attorney general.
 E802330 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: Price Daniel | Statement: [Texas State Cemetery, hasBurial, Price Daniel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Price Daniel
Context triple: [Texas State Cemetery, hasBurial, Price Daniel]
  • A. Daniels
    Daniels is a common English-language surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
  • B. Denny
    Denny is a small town in central Scotland, located in the Falkirk council area.
  • C. Denny
    Denny is the surname of Reginald Denny, an English-born actor and World War I aviator who became a notable Hollywood film and television performer.
  • D. Marc Daniels
    Marc Daniels was an American television director best known for his work on the original Star Trek series and numerous classic TV shows of the 1950s–1970s.
  • E. Dan (Laish)
    Dan (Laish) was an ancient Israelite city in the far north of the land, known as the northernmost boundary marker of biblical Israel (“from Dan to Beersheba”) and an important religious and strategic center.
  • 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: Price Daniel
Triple: [Texas State Cemetery, hasBurial, Price Daniel]
Generated description
Price Daniel was a mid-20th-century Texas politician who served as governor, U.S. senator, and state attorney general.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Price Daniel
Target entity description: Price Daniel was a mid-20th-century Texas politician who served as governor, U.S. senator, and state attorney general.
  • A. Daniels
    Daniels is a common English-language surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
  • B. Denny
    Denny is a small town in central Scotland, located in the Falkirk council area.
  • C. Denny
    Denny is the surname of Reginald Denny, an English-born actor and World War I aviator who became a notable Hollywood film and television performer.
  • D. Marc Daniels
    Marc Daniels was an American television director best known for his work on the original Star Trek series and numerous classic TV shows of the 1950s–1970s.
  • E. Dan (Laish)
    Dan (Laish) was an ancient Israelite city in the far north of the land, known as the northernmost boundary marker of biblical Israel (“from Dan to Beersheba”) and an important religious and strategic center.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95ea4a04819092c7842361c6296e completed April 1, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d2e2a64819097d87b3cf304f036 completed April 4, 2026, 3:24 p.m.
NEDg Description generation batch_69d12e20f4ac8190bd6aef228f13689e completed April 4, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69d12eae212481908f2136966fca8df5 completed April 4, 2026, 3:30 p.m.
Created at: March 30, 2026, 7:56 p.m.