Triple

T13031935
Position Surface form Disambiguated ID Type / Status
Subject Marlon E326461 entity
Predicate hasDiminutive P456 FINISHED
Object Lon
Lon is a masculine given name, often used as a short form of names like Marlon or Alonzo.
 E623863 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: Lon | Statement: [Marlon, hasDiminutive, Lon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lon
Context triple: [Marlon, hasDiminutive, Lon]
  • A. Lon
    Lon is the family name of Lon Nol, the Cambodian general and politician who led a coup against Prince Norodom Sihanouk and headed the Khmer Republic in the early 1970s.
  • B. Lou
    Lou is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by mutated creatures.
  • C. Lou
    Lou is a common diminutive form of the given name Louise.
  • D. Lou
    Lou is a central character in the Canadian romantic drama film "Take This Waltz," which explores themes of love, fidelity, and emotional restlessness.
  • E. Lou
    Lou is a supporting character in the romantic drama film "Stuck in Love," involved in the intertwined relationships and personal struggles of a family of writers.
  • 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: Lon
Triple: [Marlon, hasDiminutive, Lon]
Generated description
Lon is a masculine given name, often used as a short form of names like Marlon or Alonzo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lon
Target entity description: Lon is a masculine given name, often used as a short form of names like Marlon or Alonzo.
  • A. Lon chosen
    Lon is the family name of Lon Nol, the Cambodian general and politician who led a coup against Prince Norodom Sihanouk and headed the Khmer Republic in the early 1970s.
  • B. Lou
    Lou is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by mutated creatures.
  • C. Lou
    Lou is a common diminutive form of the given name Louise.
  • D. Lou
    Lou is a central character in the Canadian romantic drama film "Take This Waltz," which explores themes of love, fidelity, and emotional restlessness.
  • E. Lou
    Lou is a supporting character in the romantic drama film "Stuck in Love," involved in the intertwined relationships and personal struggles of a family of writers.
  • F. None of above.

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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efe72348190b52fb4068f5fb829 completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbcd25108190a6c4a129cde81534 completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6cd0d21e08190855dcbee000fc25d completed May 3, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_69f6ce6b220c8190b1f49a9b2bfce692 completed May 3, 2026, 4:26 a.m.
Created at: April 9, 2026, 8:54 p.m.