Triple

T144166
Position Surface form Disambiguated ID Type / Status
Subject Earle Cabell E2917 entity
Predicate familyName P18 FINISHED
Object Cabell
Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
 E26076 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: Cabell | Statement: [Earle Cabell, familyName, Cabell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cabell
Context triple: [Earle Cabell, familyName, Cabell]
  • A. Trent
    The Trent is one of the principal rivers in England, flowing through the Midlands and joining the Humber estuary before reaching the North Sea.
  • B. McDouglas
    McDouglas is a less common Scottish-derived surname variant of Douglas, typically indicating "son of Douglas."
  • C. Richardson
    Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
  • D. Marshall
    Marshall is a common English surname borne by numerous notable figures, including military leaders, politicians, and artists.
  • E. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • 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: Cabell
Triple: [Earle Cabell, familyName, Cabell]
Generated description
Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cabell
Target entity description: Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
  • A. Trent
    The Trent is one of the principal rivers in England, flowing through the Midlands and joining the Humber estuary before reaching the North Sea.
  • B. McDouglas
    McDouglas is a less common Scottish-derived surname variant of Douglas, typically indicating "son of Douglas."
  • C. Richardson
    Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
  • D. Marshall
    Marshall is a common English surname borne by numerous notable figures, including military leaders, politicians, and artists.
  • E. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • 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_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_69a3280fa2e08190a367f06d721ed2a3 completed Feb. 28, 2026, 5:38 p.m.
NEDg Description generation batch_69a328cdb208819087aaa0e6149bef79 completed Feb. 28, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_69a32921b0408190a13d8e0436d3e145 completed Feb. 28, 2026, 5:42 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.