Triple

T7990100
Position Surface form Disambiguated ID Type / Status
Subject Orrington Lunt E185978 entity
Predicate hasFamilyName P18 FINISHED
Object Lunt
Lunt is a surname of English origin borne by various notable individuals, including American philanthropist Orrington Lunt.
 E702842 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: Lunt | Statement: [Orrington Lunt, hasFamilyName, Lunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lunt
Context triple: [Orrington Lunt, hasFamilyName, Lunt]
  • A. Luneta
    Luneta is the historic urban park in Manila, Philippines, renowned as a national landmark and popular public gathering place.
  • B. Lansen
    Lansen is the NATO reporting name for the Swedish Saab 32, a Cold War-era jet aircraft used primarily for attack and reconnaissance roles.
  • C. Haynrode
    Haynrode is a small village in the German state of Thuringia.
  • D. Pennar
    Pennar is a residential area in Pembroke Dock, Pembrokeshire, Wales, overlooking the Milford Haven Waterway.
  • E. Jenefar
    Jenefar is an alternative spelling of the given name Jennifer, typically used as a feminine first name.
  • 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: Lunt
Triple: [Orrington Lunt, hasFamilyName, Lunt]
Generated description
Lunt is a surname of English origin borne by various notable individuals, including American philanthropist Orrington Lunt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lunt
Target entity description: Lunt is a surname of English origin borne by various notable individuals, including American philanthropist Orrington Lunt.
  • A. Luneta
    Luneta is the historic urban park in Manila, Philippines, renowned as a national landmark and popular public gathering place.
  • B. Lansen
    Lansen is the NATO reporting name for the Swedish Saab 32, a Cold War-era jet aircraft used primarily for attack and reconnaissance roles.
  • C. Haynrode
    Haynrode is a small village in the German state of Thuringia.
  • D. Pennar
    Pennar is a residential area in Pembroke Dock, Pembrokeshire, Wales, overlooking the Milford Haven Waterway.
  • E. Jenefar
    Jenefar is an alternative spelling of the given name Jennifer, typically used as a feminine first name.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4f98808190879113ad4af9bb4d completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0f5c22881908044a178d670684c completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cbe43f883081908768a7314409b622 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc34c6cf6881909b28a0b6882b518d completed March 31, 2026, 8:55 p.m.
Created at: March 30, 2026, 5:16 p.m.