Triple

T12596384
Position Surface form Disambiguated ID Type / Status
Subject Delisha Milton-Jones E300742 entity
Predicate givenName P17 FINISHED
Object DeLisha
DeLisha is the given name of DeLisha Milton-Jones, a prominent American former professional basketball player and coach known for her successful WNBA career.
E991844 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: DeLisha | Statement: [Delisha Milton-Jones, givenName, DeLisha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DeLisha
Context triple: [Delisha Milton-Jones, givenName, DeLisha]
  • A. LaTisha
    LaTisha is a fictional female protagonist, likely a young woman or girl, who serves as the central focus of the story.
  • B. Dameisha
    Dameisha is a popular coastal area in Shenzhen, China, best known for its long sandy beach, seaside resorts, and recreational attractions.
  • C. Sharisse
    Sharisse is the given first name of American actress and singer Shar Jackson.
  • D. Shameika
    "Shameika" is a critically acclaimed song by American singer-songwriter Fiona Apple from her 2020 album "Fetch the Bolt Cutters," noted for its unconventional structure and autobiographical lyrics about childhood resilience.
  • E. LaShelle
    LaShelle is a surname most notably associated with Joseph LaShelle, an Academy Award–winning American cinematographer.
  • 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: DeLisha
Triple: [Delisha Milton-Jones, givenName, DeLisha]
Generated description
DeLisha is the given name of DeLisha Milton-Jones, a prominent American former professional basketball player and coach known for her successful WNBA career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DeLisha
Target entity description: DeLisha is the given name of DeLisha Milton-Jones, a prominent American former professional basketball player and coach known for her successful WNBA career.
  • A. LaTisha
    LaTisha is a fictional female protagonist, likely a young woman or girl, who serves as the central focus of the story.
  • B. Dameisha
    Dameisha is a popular coastal area in Shenzhen, China, best known for its long sandy beach, seaside resorts, and recreational attractions.
  • C. Sharisse
    Sharisse is the given first name of American actress and singer Shar Jackson.
  • D. Shameika
    "Shameika" is a critically acclaimed song by American singer-songwriter Fiona Apple from her 2020 album "Fetch the Bolt Cutters," noted for its unconventional structure and autobiographical lyrics about childhood resilience.
  • E. LaShelle
    LaShelle is a surname most notably associated with Joseph LaShelle, an Academy Award–winning American cinematographer.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cf33b88190bff339fcd3142cc8 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec49af881908abb948567b82b74 completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f65faf33e0819092df07a5fa98cb73 completed May 2, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f66036f520819098af75cd5578d573 completed May 2, 2026, 8:36 p.m.
Created at: April 9, 2026, 5:08 p.m.