Triple

T7371426
Position Surface form Disambiguated ID Type / Status
Subject Jean Harlow E170013 entity
Predicate givenName P17 FINISHED
Object Harlean
Harlean is the birth name of classic Hollywood film star Jean Harlow, a major sex symbol and leading actress of the 1930s.
 E660404 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: Harlean | Statement: [Jean Harlow, givenName, Harlean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harlean
Context triple: [Jean Harlow, givenName, Harlean]
  • A. Marleigh
    Marleigh is a given name, typically a modern feminine variant of the name Marley.
  • B. Kayely
    Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
  • C. Arletta
    Arletta, better known as Herleva of Falaise, was the mother of William the Conqueror and a notable figure in 11th-century Norman history.
  • D. Glennis
    Glennis is a feminine given name, best known for belonging to Glennis Dickhouse Yeager, the wife of test pilot Chuck Yeager and namesake of the Bell X-1 aircraft "Glamorous Glennis."
  • E. Geralyn
    Geralyn is a feminine given name, typically considered a modern or variant form of Geraldine.
  • 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: Harlean
Triple: [Jean Harlow, givenName, Harlean]
Generated description
Harlean is the birth name of classic Hollywood film star Jean Harlow, a major sex symbol and leading actress of the 1930s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harlean
Target entity description: Harlean is the birth name of classic Hollywood film star Jean Harlow, a major sex symbol and leading actress of the 1930s.
  • A. Marleigh
    Marleigh is a given name, typically a modern feminine variant of the name Marley.
  • B. Kayely
    Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
  • C. Arletta
    Arletta, better known as Herleva of Falaise, was the mother of William the Conqueror and a notable figure in 11th-century Norman history.
  • D. Glennis
    Glennis is a feminine given name, best known for belonging to Glennis Dickhouse Yeager, the wife of test pilot Chuck Yeager and namesake of the Bell X-1 aircraft "Glamorous Glennis."
  • E. Geralyn
    Geralyn is a feminine given name, typically considered a modern or variant form of Geraldine.
  • 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_69c68a5bfaac81909ce7f001dfb70c76 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f18451d88190ad4a2674279bb703 completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802c711788190806987567dbc9942 completed March 28, 2026, 4:33 p.m.
NEDg Description generation batch_69c8035151a481908a33c1ecd12c2f6d completed March 28, 2026, 4:35 p.m.
NED2 Entity disambiguation (via description) batch_69c803aea0808190a5208c02a0db1187 completed March 28, 2026, 4:37 p.m.
Created at: March 27, 2026, 3:07 p.m.