Triple

T20517980
Position Surface form Disambiguated ID Type / Status
Subject Andrew Koenig E503729 entity
Predicate appearedIn P795 FINISHED
Object InAlienable
InAlienable is a 2008 science fiction horror film about a man who becomes host to an alien parasite that challenges the boundaries of human identity and legal rights.
E1436036 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: InAlienable | Statement: [Andrew Koenig, appearedIn, InAlienable]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: InAlienable
Context triple: [Andrew Koenig, appearedIn, InAlienable]
  • A. Aalias
    Aalias is a music producer known for working on tracks such as Rihanna's "The Monster" featuring Eminem.
  • B. INALI
    INALI is Mexico’s National Institute of Indigenous Languages, a government body dedicated to the preservation, promotion, and development of the country’s indigenous languages.
  • C. Nom
    Nom is a domain name marketplace and service platform operating under the brand Nom.com.
  • D. Namnetes
    The Namnetes were an ancient Celtic tribe of western Gaul, associated with the region around modern Nantes in present-day France.
  • E. In Name Only
    In Name Only is a 1939 romantic drama film starring Cary Grant and Carole Lombard, adapted from a novel and known for its blend of melodrama and emotional complexity.
  • 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: InAlienable
Triple: [Andrew Koenig, appearedIn, InAlienable]
Generated description
InAlienable is a 2008 science fiction horror film about a man who becomes host to an alien parasite that challenges the boundaries of human identity and legal rights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: InAlienable
Target entity description: InAlienable is a 2008 science fiction horror film about a man who becomes host to an alien parasite that challenges the boundaries of human identity and legal rights.
  • A. Aalias
    Aalias is a music producer known for working on tracks such as Rihanna's "The Monster" featuring Eminem.
  • B. INALI
    INALI is Mexico’s National Institute of Indigenous Languages, a government body dedicated to the preservation, promotion, and development of the country’s indigenous languages.
  • C. Nom
    Nom is a domain name marketplace and service platform operating under the brand Nom.com.
  • D. Namnetes
    The Namnetes were an ancient Celtic tribe of western Gaul, associated with the region around modern Nantes in present-day France.
  • E. In Name Only
    In Name Only is a 1939 romantic drama film starring Cary Grant and Carole Lombard, adapted from a novel and known for its blend of melodrama and emotional complexity.
  • 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f43e0b08190b043f35645b264a0 completed April 20, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a089d3d55a08190b478b4b8f50ff101 completed May 16, 2026, 4:37 p.m.
NEDg Description generation batch_6a089e5816308190979cd7ab78a0c0f6 completed May 16, 2026, 4:42 p.m.
NED2 Entity disambiguation (via description) batch_6a089ecd0f988190afc859a511a18f7b completed May 16, 2026, 4:43 p.m.
Created at: April 16, 2026, 11:36 a.m.