Triple

T3015991
Position Surface form Disambiguated ID Type / Status
Subject Chang: A Drama of the Wilderness E82336 entity
Predicate shortTitle P38 FINISHED
Object Chang
Chang is a 1927 silent documentary-style adventure film set in the jungles of Siam, co-directed by Merian C. Cooper and Ernest B. Schoedsack, known for its depiction of human–nature conflict and elephant stampedes.
E321135 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: Chang | Statement: [Chang: A Drama of the Wilderness, shortTitle, Chang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chang
Context triple: [Chang: A Drama of the Wilderness, shortTitle, Chang]
  • A. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • B. Kwan
    Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
  • C. Cheng
    Cheng is a given name associated with the Chinese politician Chen Cheng.
  • D. Jang
    Jang is one of the small islands that make up Maloelap Atoll in the Republic of the Marshall Islands.
  • E. Chen
    Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
  • 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: Chang
Triple: [Chang: A Drama of the Wilderness, shortTitle, Chang]
Generated description
Chang is a 1927 silent documentary-style adventure film set in the jungles of Siam, co-directed by Merian C. Cooper and Ernest B. Schoedsack, known for its depiction of human–nature conflict and elephant stampedes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chang
Target entity description: Chang is a 1927 silent documentary-style adventure film set in the jungles of Siam, co-directed by Merian C. Cooper and Ernest B. Schoedsack, known for its depiction of human–nature conflict and elephant stampedes.
  • A. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • B. Kwan
    Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
  • C. Cheng
    Cheng is a given name associated with the Chinese politician Chen Cheng.
  • D. Jang
    Jang is one of the small islands that make up Maloelap Atoll in the Republic of the Marshall Islands.
  • E. Chen
    Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
  • 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a6b37288190a6965d183ca4b08b completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1dea9a7c4819087fb6853d839fb1e completed March 11, 2026, 9:29 p.m.
NEDg Description generation batch_69b1df92c05481908f4490412b5c4885 completed March 11, 2026, 9:33 p.m.
NED2 Entity disambiguation (via description) batch_69b1dfe4bfe481909ebd745964940294 completed March 11, 2026, 9:34 p.m.
Created at: March 8, 2026, 3 p.m.