Triple

T23069806
Position Surface form Disambiguated ID Type / Status
Subject Allisha Gray E575160 entity
Predicate givenName P17 FINISHED
Object Allisha
Allisha is the given name of American professional basketball player Allisha Gray, known for her career in the WNBA and international competition.
 E1568507 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: Allisha | Statement: [Allisha Gray, givenName, Allisha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Allisha
Context triple: [Allisha Gray, givenName, Allisha]
  • A. Alyssa
    Alyssa is a feminine given name that gained widespread popularity in the late 20th century, partly due to its use by American actress Alyssa Milano.
  • B. Ashlea
    Ashlea is a given name, typically a feminine variant of Ashley, used in English-speaking countries.
  • C. Aliza
    Aliza is a feminine given name, often considered a variant of Eliza and used in various cultures with meanings related to joy or nobility.
  • D. Allison
    Allison is a key character in the film "Hocus Pocus," known as Max Dennison’s love interest and ally in battling the Sanderson sisters.
  • E. Allison
    Allison is a common English-language surname of Scottish and Irish origin, often derived from "son of Alice" or "son of Alan."
  • 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: Allisha
Triple: [Allisha Gray, givenName, Allisha]
Generated description
Allisha is the given name of American professional basketball player Allisha Gray, known for her career in the WNBA and international competition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Allisha
Target entity description: Allisha is the given name of American professional basketball player Allisha Gray, known for her career in the WNBA and international competition.
  • A. Alyssa
    Alyssa is a feminine given name that gained widespread popularity in the late 20th century, partly due to its use by American actress Alyssa Milano.
  • B. Ashlea
    Ashlea is a given name, typically a feminine variant of Ashley, used in English-speaking countries.
  • C. Aliza
    Aliza is a feminine given name, often considered a variant of Eliza and used in various cultures with meanings related to joy or nobility.
  • D. Allison
    Allison is a key character in the film "Hocus Pocus," known as Max Dennison’s love interest and ally in battling the Sanderson sisters.
  • E. Allison
    Allison is a common English-language surname of Scottish and Irish origin, often derived from "son of Alice" or "son of Alan."
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a676c08190863c034663406018 completed April 29, 2026, 4:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0aef03e08190884fa1ba9a92baf7 completed May 19, 2026, 7:02 a.m.
NEDg Description generation batch_6a0c0e82010c8190b97e9f69ab6ba138 completed May 19, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0ef4f6848190b149aef73c970283 completed May 19, 2026, 7:19 a.m.
Created at: April 17, 2026, 3:55 p.m.