Triple

T1407238
Position Surface form Disambiguated ID Type / Status
Subject Sanaa Lathan E31721 entity
Predicate familyName P18 FINISHED
Object Lathan
Lathan is a surname most prominently associated with American actress Sanaa Lathan, known for her roles in film, television, and theater.
 E161177 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: Lathan | Statement: [Sanaa Lathan, familyName, Lathan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lathan
Context triple: [Sanaa Lathan, familyName, Lathan]
  • A. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • B. Michael Kube-McDowell
    Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
  • C. Jared
    Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
  • D. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • E. Dustin
    Dustin is a masculine given name commonly used in English-speaking countries.
  • 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: Lathan
Triple: [Sanaa Lathan, familyName, Lathan]
Generated description
Lathan is a surname most prominently associated with American actress Sanaa Lathan, known for her roles in film, television, and theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lathan
Target entity description: Lathan is a surname most prominently associated with American actress Sanaa Lathan, known for her roles in film, television, and theater.
  • A. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • B. Michael Kube-McDowell
    Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
  • C. Jared
    Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
  • D. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • E. Dustin
    Dustin is a masculine given name commonly used in English-speaking countries.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3be10348190ade8a73780d2c008 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5770ea08190ac91b47a4ed5bf35 completed March 8, 2026, 2:56 a.m.
NEDg Description generation batch_69ace62a94e88190883d25cdb748e8c1 completed March 8, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69ace68ab3788190bc3b55dd9a0fe267 completed March 8, 2026, 3:01 a.m.
Created at: March 1, 2026, 7:59 p.m.