Triple

T14712134
Position Surface form Disambiguated ID Type / Status
Subject Lucan the Butler E345573 entity
Predicate alsoKnownAs P39 FINISHED
Object Sir Lucan
Sir Lucan is a loyal knight and butler of King Arthur in Arthurian legend, known for his bravery and steadfast service to the Round Table.
E1116258 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: Sir Lucan | Statement: [Lucan the Butler, alsoKnownAs, Sir Lucan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sir Lucan
Context triple: [Lucan the Butler, alsoKnownAs, Sir Lucan]
  • A. Lord Lucan
    Lord Lucan is the courtesy title traditionally used by the heir apparent to the Earldom of Lucan in the British peerage, most famously associated with the aristocrat who disappeared in 1974 after being suspected of murder.
  • B. Sir Roderick Evans
    Sir Roderick Evans is a distinguished British judge and legal figure who studied at Jesus College, Oxford.
  • C. Lancelot Heath
    Lancelot Heath is an individual notable enough to be recognized as a prominent bearer of the surname Heath.
  • D. Sam Leitch
    Sam Leitch was a British sports broadcaster best known for his influential work presenting football coverage on BBC television.
  • E. Samuel Lord
    Samuel Lord was a 19th-century English-born American merchant best known for establishing the iconic New York department store Lord & Taylor.
  • 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: Sir Lucan
Triple: [Lucan the Butler, alsoKnownAs, Sir Lucan]
Generated description
Sir Lucan is a loyal knight and butler of King Arthur in Arthurian legend, known for his bravery and steadfast service to the Round Table.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sir Lucan
Target entity description: Sir Lucan is a loyal knight and butler of King Arthur in Arthurian legend, known for his bravery and steadfast service to the Round Table.
  • A. Lord Lucan
    Lord Lucan is the courtesy title traditionally used by the heir apparent to the Earldom of Lucan in the British peerage, most famously associated with the aristocrat who disappeared in 1974 after being suspected of murder.
  • B. Sir Roderick Evans
    Sir Roderick Evans is a distinguished British judge and legal figure who studied at Jesus College, Oxford.
  • C. Lancelot Heath
    Lancelot Heath is an individual notable enough to be recognized as a prominent bearer of the surname Heath.
  • D. Sam Leitch
    Sam Leitch was a British sports broadcaster best known for his influential work presenting football coverage on BBC television.
  • E. Samuel Lord
    Samuel Lord was a 19th-century English-born American merchant best known for establishing the iconic New York department store Lord & Taylor.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb982bf248190881e21a8a0861a3f completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf08f2aa08190a5ac3240d1de90fb completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf23d4928819093630e25616abb2d completed May 8, 2026, 2:25 p.m.
NED2 Entity disambiguation (via description) batch_69fdf31fcb4081908a88cf4d4c5ddced completed May 8, 2026, 2:28 p.m.
Created at: April 10, 2026, 1:28 a.m.