Triple

T20765113
Position Surface form Disambiguated ID Type / Status
Subject Omotic E511073 entity
Predicate proposedBy P32 FINISHED
Object Harold C. Fleming
Harold C. Fleming was an American anthropologist and historical linguist known for his influential work on African languages and for proposing Omotic as a distinct branch of the Afroasiatic language family.
E1704964 NE FINISHED

How this triple was built (2 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: Harold C. Fleming | Statement: [Omotic, proposedBy, Harold C. Fleming]
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: Harold C. Fleming
Triple: [Omotic, proposedBy, Harold C. Fleming]
Generated description
Harold C. Fleming was an American anthropologist and historical linguist known for his influential work on African languages and for proposing Omotic as a distinct branch of the Afroasiatic language family.

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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24bde0c8190b46986b89bf2e037 completed April 21, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1107344f7c8190bb8d4b75d68cb669 completed May 23, 2026, 1:47 a.m.
NEDg Description generation batch_6a110a2092e08190a0449f88ae116299 completed May 23, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_6a110b07ed44819083f71d43b4811cfe completed May 23, 2026, 2:03 a.m.
Created at: April 16, 2026, 12:36 p.m.