Triple

T9286341
Position Surface form Disambiguated ID Type / Status
Subject Doc Holliday E223402 entity
Predicate middleName P143 FINISHED
Object Henry
Henry is the middle name of the famed American gambler, gunfighter, and dentist Doc Holliday.
E789749 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: Henry | Statement: [Doc Holliday, middleName, Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry
Context triple: [Doc Holliday, middleName, Henry]
  • A. Henry
    Henry is the given name of Henry A. Kissinger, the influential American diplomat and political scientist who served as U.S. Secretary of State and National Security Advisor.
  • B. Henry
    Henry is the given first name of Hank Steinbrenner, a late co-owner and general partner of the New York Yankees baseball team.
  • C. Henry
    Henry is the given name of the influential American architect Henry Hobson Richardson, a key figure in 19th-century architecture.
  • D. Henry
    Henry is a common English surname borne by numerous notable individuals across politics, sports, and the arts.
  • E. Henry
    Henry is a masculine given name of Germanic origin that has been widely used by European royalty and notable historical figures.
  • 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: Henry
Triple: [Doc Holliday, middleName, Henry]
Generated description
Henry is the middle name of the famed American gambler, gunfighter, and dentist Doc Holliday.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Henry
Target entity description: Henry is the middle name of the famed American gambler, gunfighter, and dentist Doc Holliday.
  • A. Henry
    Henry is the birth name of the fictional archaeologist and adventurer better known as Indiana Jones.
  • B. Henry
    Henry is the given name of the influential American architect Henry Hobson Richardson, a key figure in 19th-century architecture.
  • C. Henry
    Henry is the given name of Henry A. Kissinger, the influential American diplomat and political scientist who served as U.S. Secretary of State and National Security Advisor.
  • D. Henry
    Henry is the given first name of American businessman and politician Ross Perot, who was a prominent third-party U.S. presidential candidate in the 1990s.
  • E. Henry
    Henry is a common English surname borne by numerous notable individuals across politics, sports, and the arts.
  • 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_69ca8422ddf881908a3f8f876c9f53aa completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0821b1108190b16e9570b09a14de completed April 1, 2026, 11:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b22753e481908bf19c7da13556d6 completed April 4, 2026, 6:39 a.m.
NEDg Description generation batch_69d0b31096108190a118a4c7a8c11133 completed April 4, 2026, 6:43 a.m.
NED2 Entity disambiguation (via description) batch_69d0b3d40da08190b25118a0901728da completed April 4, 2026, 6:46 a.m.
Created at: March 30, 2026, 7:35 p.m.