Triple

T26832473
Position Surface form Disambiguated ID Type / Status
Subject Sexual Behavior in the Human Female E675536 entity
Predicate author P4 FINISHED
Object Paul H. Gebhard
Paul H. Gebhard was an American anthropologist and sexologist who succeeded Alfred Kinsey as director of the Kinsey Institute and co-authored landmark studies on human sexual behavior.
E1815833 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: Paul H. Gebhard | Statement: [Sexual Behavior in the Human Female, author, Paul H. Gebhard]
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: Paul H. Gebhard
Triple: [Sexual Behavior in the Human Female, author, Paul H. Gebhard]
Generated description
Paul H. Gebhard was an American anthropologist and sexologist who succeeded Alfred Kinsey as director of the Kinsey Institute and co-authored landmark studies on human sexual behavior.

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_69eee9b776448190993a60b67fcc9545 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61ade18808190954f582501af4842 completed May 2, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1632d4a994819087ff83f117c7066a completed May 26, 2026, 11:55 p.m.
NEDg Description generation batch_6a163495d6888190a6c226919d78ee45 completed May 27, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_6a16353dbdf88190b6d85c1b6c0c195c completed May 27, 2026, 12:05 a.m.
Created at: April 27, 2026, 5:02 a.m.