Triple

T12860679
Position Surface form Disambiguated ID Type / Status
Subject Dale Launer E307577 entity
Predicate wrote P2831 FINISHED
Object Love Potion No. 9 E640393 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: Love Potion No. 9 | Statement: [Dale Launer, wrote, Love Potion No. 9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Potion No. 9
Context triple: [Dale Launer, wrote, Love Potion No. 9]
  • A. Love Potion No. 9
    Love Potion No. 9 is a 1959 doo-wop song, first recorded by The Clovers, that humorously tells the story of a man who visits a gypsy to obtain a magical love potion.
  • B. Love Potion No. 9 chosen
    Love Potion No. 9 is a 1992 romantic comedy film about a magical love serum that causes humorous romantic chaos.
  • C. The Love Potion
    The Love Potion is a Pre-Raphaelite-style painting by British artist Evelyn De Morgan, depicting a richly robed sorceress preparing a magical draught in a symbol-laden, medieval interior.
  • D. Mad Love
    Mad Love is a 2010s American television series that blends romantic comedy with ensemble relationship drama set in New York City.
  • E. Mad Love
    "Mad Love" is a 1935 psychological horror film starring Peter Lorre (credited as László Löwenstein), known for its macabre tale of obsession and surgical mutilation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708ba74881909b16c1e2ef5115db completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bade6ec81908e3123b96837f104 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:37 p.m.