Triple

T13977553
Position Surface form Disambiguated ID Type / Status
Subject Ben Hardy E336225 entity
Predicate notableWork P4 FINISHED
Object Love at First Sight
Love at First Sight is a romantic film featuring Ben Hardy in a prominent role.
E1072212 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 at First Sight | Statement: [Ben Hardy, notableWork, Love at First Sight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love at First Sight
Context triple: [Ben Hardy, notableWork, Love at First Sight]
  • A. Love at First Sight
    Love at First Sight is a 2002 dance-pop single by Kylie Minogue, known for its upbeat, disco-influenced sound and success as one of her signature hits.
  • B. Innamoramento
    Innamoramento is a 1999 studio album by French singer Mylène Farmer, known for its melancholic pop sound and introspective, poetic lyrics.
  • C. The First Touch of Love
    "The First Touch of Love" is a song featured on the album "What Comes Naturally."
  • D. First Love
    "First Love" is a short story by Eudora Welty, included in her collection *The Wide Net and Other Stories*, that reflects her characteristic Southern setting and nuanced exploration of human relationships.
  • E. Love in the Eyes
    "Love in the Eyes" is an instrumental track from the Season 1 soundtrack of the HBO television series Game of Thrones, composed by Ramin Djawadi.
  • 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 at First Sight
Triple: [Ben Hardy, notableWork, Love at First Sight]
Generated description
Love at First Sight is a romantic film featuring Ben Hardy in a prominent role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Love at First Sight
Target entity description: Love at First Sight is a romantic film featuring Ben Hardy in a prominent role.
  • A. Love at First Sight
    Love at First Sight is a 2002 dance-pop single by Kylie Minogue, known for its upbeat, disco-influenced sound and success as one of her signature hits.
  • B. Innamoramento
    Innamoramento is a 1999 studio album by French singer Mylène Farmer, known for its melancholic pop sound and introspective, poetic lyrics.
  • C. The First Touch of Love
    "The First Touch of Love" is a song featured on the album "What Comes Naturally."
  • D. First Love
    "First Love" is a short story by Eudora Welty, included in her collection *The Wide Net and Other Stories*, that reflects her characteristic Southern setting and nuanced exploration of human relationships.
  • E. Love in the Eyes
    "Love in the Eyes" is an instrumental track from the Season 1 soundtrack of the HBO television series Game of Thrones, composed by Ramin Djawadi.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e9fc7248190a9f26e253286ac3c completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1e3cafc8190a1806a29b2e46ae9 completed May 6, 2026, 8:17 p.m.
NEDg Description generation batch_69fba74a96b08190a08c51c231e49e5d completed May 6, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_69fba8585fb08190998d6a005dc0bd31 completed May 6, 2026, 8:45 p.m.
Created at: April 9, 2026, 10:18 p.m.