Triple

T13171442
Position Surface form Disambiguated ID Type / Status
Subject Ludlow Wray E312984 entity
Predicate nickname P55 FINISHED
Object Lud
Lud is the nickname of Ludlow Wray, likely used as a familiar or informal form of his given name.
 E1025592 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: Lud | Statement: [Ludlow Wray, nickname, Lud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lud
Context triple: [Ludlow Wray, nickname, Lud]
  • A. Lud
    Lud is a decayed, trap-filled city in Stephen King’s The Dark Tower series, known for its warring factions, ancient technology, and pervasive atmosphere of ruin.
  • B. LUD
    LUD is the IATA airport code for Lüderitz Airport, a regional airport serving the coastal town of Lüderitz in Namibia.
  • C. Luds
    Luds are a small Finno-Ugric ethnic group traditionally inhabiting parts of northwestern Russia, with their own Uralic language and distinct cultural traditions.
  • D. Ludes
    Ludes is a wine-producing village in France’s Champagne region, known for its vineyards on the Montagne de Reims.
  • E. Luder
    Luder is a variant form of the name Luther, most commonly associated with the German surname and given 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: Lud
Triple: [Ludlow Wray, nickname, Lud]
Generated description
Lud is the nickname of Ludlow Wray, likely used as a familiar or informal form of his given name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lud
Target entity description: Lud is the nickname of Ludlow Wray, likely used as a familiar or informal form of his given name.
  • A. Lud
    Lud is a decayed, trap-filled city in Stephen King’s The Dark Tower series, known for its warring factions, ancient technology, and pervasive atmosphere of ruin.
  • B. LUD
    LUD is the IATA airport code for Lüderitz Airport, a regional airport serving the coastal town of Lüderitz in Namibia.
  • C. Luds
    Luds are a small Finno-Ugric ethnic group traditionally inhabiting parts of northwestern Russia, with their own Uralic language and distinct cultural traditions.
  • D. Ludes
    Ludes is a wine-producing village in France’s Champagne region, known for its vineyards on the Montagne de Reims.
  • E. Luder
    Luder is a variant form of the name Luther, most commonly associated with the German surname and given 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c2f22b881908a0af3af0a0af971 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eafb81288190a6dcc3bd872998d8 completed May 3, 2026, 6:28 a.m.
NEDg Description generation batch_69f6f18100148190bdb501b21d37e6af completed May 3, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_69f6f25118508190a35d88cfbdfd77ec completed May 3, 2026, 6:59 a.m.
Created at: April 9, 2026, 9:13 p.m.