Triple

T13541588
Position Surface form Disambiguated ID Type / Status
Subject Jan de Bont E323397 entity
Predicate cinematographyFor P90619 FINISHED
Object Roar
Roar is a 1981 adventure-thriller film notorious for its dangerous production involving untrained big cats and numerous on-set injuries.
 E1046764 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: Roar | Statement: [Jan de Bont, cinematographyFor, Roar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Roar
Context triple: [Jan de Bont, cinematographyFor, Roar]
  • A. Roar
    Roar is a wooden roller coaster known for its fast, twisting layout and intense airtime, located at Six Flags America.
  • B. Roar
    Roar is a short-lived 1997 fantasy-adventure television series set in ancient Ireland, best known for starring a young Heath Ledger in one of his early leading roles.
  • C. Roar
    "Roar" is a 2013 pop anthem by American singer Katy Perry, known for its empowering lyrics about self-confidence and resilience and its vibrant, jungle-themed music video.
  • D. Standing O
    "Standing O" is a pop song by Mariah Carey from her 2009 album *Memoirs of an Imperfect Angel*.
  • E. How Far I’ll Go
    "How Far I’ll Go" is the signature power ballad from Disney’s animated film *Moana*, expressing the heroine’s longing for exploration and self-discovery.
  • 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: Roar
Triple: [Jan de Bont, cinematographyFor, Roar]
Generated description
Roar is a 1981 adventure-thriller film notorious for its dangerous production involving untrained big cats and numerous on-set injuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Roar
Target entity description: Roar is a 1981 adventure-thriller film notorious for its dangerous production involving untrained big cats and numerous on-set injuries.
  • A. Roar
    "Roar" is a 2013 pop anthem by American singer Katy Perry, known for its empowering lyrics about self-confidence and resilience and its vibrant, jungle-themed music video.
  • B. Roar
    Roar is a wooden roller coaster known for its fast, twisting layout and intense airtime, located at Six Flags America.
  • C. Roar
    Roar is a short-lived 1997 fantasy-adventure television series set in ancient Ireland, best known for starring a young Heath Ledger in one of his early leading roles.
  • D. Standing O
    "Standing O" is a pop song by Mariah Carey from her 2009 album *Memoirs of an Imperfect Angel*.
  • E. How Far I’ll Go
    "How Far I’ll Go" is the signature power ballad from Disney’s animated film *Moana*, expressing the heroine’s longing for exploration and self-discovery.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe99ddc08190a8d79107c8e176fa completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9eaff881909a3cd9e88bb4ec5e completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75e7d8970819092116ae7a769ac21 completed May 3, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69f75f35c6008190b88e14feddb93a1d completed May 3, 2026, 2:44 p.m.
Created at: April 9, 2026, 9:45 p.m.