Triple

T9901841
Position Surface form Disambiguated ID Type / Status
Subject Randal Kleiser E182300 entity
Predicate directorOf P537 FINISHED
Object Love Wrecked
Love Wrecked is a 2005 teen romantic comedy film about a young woman stranded with a rock star on a supposedly deserted Caribbean island.
E827874 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: Love Wrecked | Statement: [Randal Kleiser, directorOf, Love Wrecked]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Wrecked
Context triple: [Randal Kleiser, directorOf, Love Wrecked]
  • A. Wreckless Love
    "Wreckless Love" is a contemporary Christian worship song best known for its passionate lyrics about God’s unconditional and pursuing love.
  • B. Love Scars
    Love Scars is a breakout emo-rap song by Trippie Redd that blends melodic vocals with introspective, heartbreak-centered lyrics.
  • C. Heartbreak Warfare
    "Heartbreak Warfare" is a melancholic rock ballad by John Mayer that explores the emotional turmoil and conflict of a failing relationship.
  • D. No Love Lost
    "No Love Lost" is a track featured on Shaquille O'Neal's 1996 hip-hop album "You Can't Stop the Reign."
  • E. Sea of Heartbreak
    "Sea of Heartbreak" is a classic country song, best known in its original 1961 recording by Don Gibson and later covered by numerous artists across genres.
  • 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: Love Wrecked
Triple: [Randal Kleiser, directorOf, Love Wrecked]
Generated description
Love Wrecked is a 2005 teen romantic comedy film about a young woman stranded with a rock star on a supposedly deserted Caribbean island.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Love Wrecked
Target entity description: Love Wrecked is a 2005 teen romantic comedy film about a young woman stranded with a rock star on a supposedly deserted Caribbean island.
  • A. Wreckless Love
    "Wreckless Love" is a contemporary Christian worship song best known for its passionate lyrics about God’s unconditional and pursuing love.
  • B. Love Scars
    Love Scars is a breakout emo-rap song by Trippie Redd that blends melodic vocals with introspective, heartbreak-centered lyrics.
  • C. Heartbreak Warfare
    "Heartbreak Warfare" is a melancholic rock ballad by John Mayer that explores the emotional turmoil and conflict of a failing relationship.
  • D. No Love Lost
    "No Love Lost" is a track featured on Shaquille O'Neal's 1996 hip-hop album "You Can't Stop the Reign."
  • E. Sea of Heartbreak
    "Sea of Heartbreak" is a classic country song, best known in its original 1961 recording by Don Gibson and later covered by numerous artists across genres.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4e221448190b536742d1269f9d7 completed April 2, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb2125208190b4cf549d67d1ca42 completed April 5, 2026, 4:54 a.m.
NEDg Description generation batch_69d1ec05d39c81909debbe9ae7869379 completed April 5, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_69d1ecd530e88190a92867a61b291106 completed April 5, 2026, 5:02 a.m.
Created at: March 30, 2026, 8:40 p.m.