Triple

T144165
Position Surface form Disambiguated ID Type / Status
Subject Earle Cabell E2917 entity
Predicate givenName P17 FINISHED
Object Earle
Earle is a masculine given name of English origin, historically associated with the noble title "earl" and used both as a first name and surname.
 E2917 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: Earle | Statement: [Earle Cabell, givenName, Earle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Earle
Context triple: [Earle Cabell, givenName, Earle]
  • A. Earl
    An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
  • B. Elliott
    Elliott is a masculine given name of English origin, often used as both a first name and a surname.
  • C. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • D. Earle Cabell
    Earle Cabell was an American politician and businessman who served as mayor of Dallas, Texas, during the early 1960s, including at the time of President John F. Kennedy’s assassination.
  • E. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • 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: Earle
Triple: [Earle Cabell, givenName, Earle]
Generated description
Earle is a masculine given name of English origin, historically associated with the noble title "earl" and used both as a first name and surname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Earle
Target entity description: Earle is a masculine given name of English origin, historically associated with the noble title "earl" and used both as a first name and surname.
  • A. Earl
    An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
  • B. Elliott
    Elliott is a masculine given name of English origin, often used as both a first name and a surname.
  • C. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • D. Earle Cabell chosen
    Earle Cabell was an American politician and businessman who served as mayor of Dallas, Texas, during the early 1960s, including at the time of President John F. Kennedy’s assassination.
  • E. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • F. None of above.

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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257e935bc8190a03e54a10e9ba6f7 completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a35b61bdfc8190a399f0b4f09672ab completed Feb. 28, 2026, 9:17 p.m.
NEDg Description generation batch_69a35bda2f2881908451ac1861bc5e22 completed Feb. 28, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_69a35c7340d08190bdf142d265369af5 completed Feb. 28, 2026, 9:21 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.