Triple

T11379483
Position Surface form Disambiguated ID Type / Status
Subject Harlene Rosen E269555 entity
Predicate givenName P17 FINISHED
Object Harlene
Harlene is a given name most notably borne by Harlene Rosen, the first wife of filmmaker and comedian Woody Allen.
 E922331 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: Harlene | Statement: [Harlene Rosen, givenName, Harlene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harlene
Context triple: [Harlene Rosen, givenName, Harlene]
  • A. Harline
    Harline is a surname most notably associated with Leigh Harline, an American film composer known for his work with Walt Disney Studios.
  • B. Arletta
    Arletta, better known as Herleva of Falaise, was the mother of William the Conqueror and a notable figure in 11th-century Norman history.
  • C. Allanetta
    Allanetta is a genus of New World silversides, small ray-finned fishes in the family Atherinopsidae found in marine and coastal waters.
  • D. Harlean
    Harlean is the birth name of classic Hollywood film star Jean Harlow, a major sex symbol and leading actress of the 1930s.
  • E. Helen O'Loy
    Helen O'Loy is a classic science fiction short story about a robot woman and human love, written by American author Lester del Rey.
  • 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: Harlene
Triple: [Harlene Rosen, givenName, Harlene]
Generated description
Harlene is a given name most notably borne by Harlene Rosen, the first wife of filmmaker and comedian Woody Allen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harlene
Target entity description: Harlene is a given name most notably borne by Harlene Rosen, the first wife of filmmaker and comedian Woody Allen.
  • A. Harline
    Harline is a surname most notably associated with Leigh Harline, an American film composer known for his work with Walt Disney Studios.
  • B. Arletta
    Arletta, better known as Herleva of Falaise, was the mother of William the Conqueror and a notable figure in 11th-century Norman history.
  • C. Allanetta
    Allanetta is a genus of New World silversides, small ray-finned fishes in the family Atherinopsidae found in marine and coastal waters.
  • D. Harlean
    Harlean is the birth name of classic Hollywood film star Jean Harlow, a major sex symbol and leading actress of the 1930s.
  • E. Helen O'Loy
    Helen O'Loy is a classic science fiction short story about a robot woman and human love, written by American author Lester del Rey.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc30f5d48190bb273df4c9e583a9 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556a10f988190b173dc4880a8c6c6 completed April 19, 2026, 10:26 p.m.
NEDg Description generation batch_69e562c8fb948190be87cca65c3b74e1 completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e56aaa5c9081909f89cfe6a8fc03f0 completed April 19, 2026, 11:52 p.m.
Created at: April 8, 2026, 9:34 p.m.