Triple

T6486871
Position Surface form Disambiguated ID Type / Status
Subject Ellen Barkin E146533 entity
Predicate notableWork P4 FINISHED
Object Sea of Love
Sea of Love is a 1989 neo-noir thriller film starring Al Pacino as a New York detective entangled in a dangerous romance while hunting a serial killer.
 E595999 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: Sea of Love | Statement: [Ellen Barkin, notableWork, Sea of Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sea of Love
Context triple: [Ellen Barkin, notableWork, Sea of Love]
  • A. Only Love
    "Only Love" is a popular song performed by Greek singer Nana Mouskouri that became one of her signature international hits.
  • B. Let Love
    Let Love is a 2019 R&B and soul album by American rapper and actor Common that explores themes of spirituality, personal growth, and emotional vulnerability.
  • C. Let Love
    Let Love is a music project or release associated with Boom Bishop, recognized as a notable work in his career.
  • D. A Love Song
    "A Love Song" is a country-pop ballad recorded by Kenny Rogers that became one of his notable hits in the early 1980s.
  • E. Here’s Love
    "Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
  • 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: Sea of Love
Triple: [Ellen Barkin, notableWork, Sea of Love]
Generated description
Sea of Love is a 1989 neo-noir thriller film starring Al Pacino as a New York detective entangled in a dangerous romance while hunting a serial killer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sea of Love
Target entity description: Sea of Love is a 1989 neo-noir thriller film starring Al Pacino as a New York detective entangled in a dangerous romance while hunting a serial killer.
  • A. Only Love
    "Only Love" is a popular song performed by Greek singer Nana Mouskouri that became one of her signature international hits.
  • B. Let Love
    Let Love is a 2019 R&B and soul album by American rapper and actor Common that explores themes of spirituality, personal growth, and emotional vulnerability.
  • C. Let Love
    Let Love is a music project or release associated with Boom Bishop, recognized as a notable work in his career.
  • D. A Love Song
    "A Love Song" is a country-pop ballad recorded by Kenny Rogers that became one of his notable hits in the early 1980s.
  • E. Here’s Love
    "Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a706d4c8190b7a3cc8855abcecb completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653b4e91c81908dfa1798a057b21a completed March 27, 2026, 9:53 a.m.
NEDg Description generation batch_69c65463dad88190ad2429140623ff80 completed March 27, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_69c654d0c2948190a4d586071133d759 completed March 27, 2026, 9:58 a.m.
Created at: March 22, 2026, 4:52 p.m.