Triple

T586839
Position Surface form Disambiguated ID Type / Status
Subject Lyman Beecher E15175 entity
Predicate givenName P17 FINISHED
Object Lyman
Lyman is a masculine given name of English origin that has been borne by various notable figures, including the American clergyman and reformer Lyman Beecher.
 E73402 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: Lyman | Statement: [Lyman Beecher, givenName, Lyman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lyman
Context triple: [Lyman Beecher, givenName, Lyman]
  • A. McDouglas
    McDouglas is a less common Scottish-derived surname variant of Douglas, typically indicating "son of Douglas."
  • B. Crowfoot
    Crowfoot is the maiden surname of Nobel Prize–winning chemist Dorothy Hodgkin, reflecting her family lineage.
  • C. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • D. Cabell
    Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
  • E. 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.
  • 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: Lyman
Triple: [Lyman Beecher, givenName, Lyman]
Generated description
Lyman is a masculine given name of English origin that has been borne by various notable figures, including the American clergyman and reformer Lyman Beecher.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lyman
Target entity description: Lyman is a masculine given name of English origin that has been borne by various notable figures, including the American clergyman and reformer Lyman Beecher.
  • A. McDouglas
    McDouglas is a less common Scottish-derived surname variant of Douglas, typically indicating "son of Douglas."
  • B. Crowfoot
    Crowfoot is the maiden surname of Nobel Prize–winning chemist Dorothy Hodgkin, reflecting her family lineage.
  • C. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • D. Cabell
    Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
  • E. 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.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b9bf0cc8190a145ccd6fc501349 completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a50e273f508190bbbec5da99cb8a42 completed March 2, 2026, 4:12 a.m.
NEDg Description generation batch_69a50ed652148190a84c0d2aa5307211 completed March 2, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_69a50f53c16c8190bbeb7fa550ed46b1 completed March 2, 2026, 4:17 a.m.
Created at: March 1, 2026, 7:33 p.m.