Triple

T3526349
Position Surface form Disambiguated ID Type / Status
Subject Kellan Lutz E74547 entity
Predicate filmography P15620 FINISHED
Object Java Heat
Java Heat is a 2013 action-thriller film set in Indonesia that follows an American agent teaming up with a local detective to stop a terrorist plot.
E365687 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: Java Heat | Statement: [Kellan Lutz, filmography, Java Heat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Java Heat
Context triple: [Kellan Lutz, filmography, Java Heat]
  • A. HEATCHECK
    HEATCHECK is the abbreviated competitive moniker used by the NBA 2K League team Heat Check Gaming.
  • B. Termal
    Termal is a district in Turkey’s Yalova Province renowned for its natural hot springs and thermal spa resorts.
  • C. Java Sea
    The Java Sea is a shallow, tropical marginal sea in Indonesia, lying between the islands of Java and Borneo and known for its busy shipping routes and rich marine biodiversity.
  • D. Thermal
    Thermal is an unincorporated community in California’s Coachella Valley, known for its desert climate and proximity to agricultural and resort areas.
  • E. Heat Above
    "Heat Above" is a soaring, retro-inspired rock song by American band Greta Van Fleet, known for its lush instrumentation and Led Zeppelin–evoking vocals.
  • 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: Java Heat
Triple: [Kellan Lutz, filmography, Java Heat]
Generated description
Java Heat is a 2013 action-thriller film set in Indonesia that follows an American agent teaming up with a local detective to stop a terrorist plot.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Java Heat
Target entity description: Java Heat is a 2013 action-thriller film set in Indonesia that follows an American agent teaming up with a local detective to stop a terrorist plot.
  • A. HEATCHECK
    HEATCHECK is the abbreviated competitive moniker used by the NBA 2K League team Heat Check Gaming.
  • B. Termal
    Termal is a district in Turkey’s Yalova Province renowned for its natural hot springs and thermal spa resorts.
  • C. Java Sea
    The Java Sea is a shallow, tropical marginal sea in Indonesia, lying between the islands of Java and Borneo and known for its busy shipping routes and rich marine biodiversity.
  • D. Thermal
    Thermal is an unincorporated community in California’s Coachella Valley, known for its desert climate and proximity to agricultural and resort areas.
  • E. Heat Above
    "Heat Above" is a soaring, retro-inspired rock song by American band Greta Van Fleet, known for its lush instrumentation and Led Zeppelin–evoking vocals.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6bb0748190bfccfe25d2ab41b7 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e8de2648190809369c3f0b7d85d completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37f9a6f608190a860b0daef8d9445 completed March 13, 2026, 3:08 a.m.
NED2 Entity disambiguation (via description) batch_69b3800990bc8190be99e007560d36cd completed March 13, 2026, 3:10 a.m.
Created at: March 8, 2026, 3:19 p.m.