Triple

T8395332
Position Surface form Disambiguated ID Type / Status
Subject Tim Blake Nelson E198037 entity
Predicate directed P7373 FINISHED
Object Anesthesia
Anesthesia is a 2015 independent drama film that weaves together multiple interconnected stories exploring pain, addiction, and human connection in contemporary New York City.
 E731015 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: Anesthesia | Statement: [Tim Blake Nelson, directed, Anesthesia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anesthesia
Context triple: [Tim Blake Nelson, directed, Anesthesia]
  • A. Sedated
    "Sedated" is a song by the Irish rock band Hozier, known for its brooding lyrics and soulful, blues-influenced sound.
  • B. Novocaine
    Novocaine is a 2001 dark comedy crime film starring Steve Martin as a dentist whose life unravels after an encounter with a mysterious patient.
  • C. MedSurg
    MedSurg is a Stryker Corporation business division focused on medical and surgical equipment and related healthcare technologies.
  • D. Cooma
    Cooma is a town in New South Wales, Australia, known as a gateway to the Snowy Mountains and the Snowy Mountains Scheme.
  • E. Coma
    "Coma" is a lengthy, hard rock track by Guns N' Roses known for its complex structure, dark themes, and climactic intensity.
  • 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: Anesthesia
Triple: [Tim Blake Nelson, directed, Anesthesia]
Generated description
Anesthesia is a 2015 independent drama film that weaves together multiple interconnected stories exploring pain, addiction, and human connection in contemporary New York City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anesthesia
Target entity description: Anesthesia is a 2015 independent drama film that weaves together multiple interconnected stories exploring pain, addiction, and human connection in contemporary New York City.
  • A. Sedated
    "Sedated" is a song by the Irish rock band Hozier, known for its brooding lyrics and soulful, blues-influenced sound.
  • B. Novocaine
    Novocaine is a 2001 dark comedy crime film starring Steve Martin as a dentist whose life unravels after an encounter with a mysterious patient.
  • C. MedSurg
    MedSurg is a Stryker Corporation business division focused on medical and surgical equipment and related healthcare technologies.
  • D. Cooma
    Cooma is a town in New South Wales, Australia, known as a gateway to the Snowy Mountains and the Snowy Mountains Scheme.
  • E. Coma
    "Coma" is a lengthy, hard rock track by Guns N' Roses known for its complex structure, dark themes, and climactic intensity.
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb81874d6c8190bbc0ac832d8a339d completed March 31, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde85ee7b08190bfbcbed0edb142dd completed April 2, 2026, 3:54 a.m.
NEDg Description generation batch_69cdebfc63e8819087f5c1d588b58e21 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cded77618c81909e8786ccd2f3e4b6 completed April 2, 2026, 4:15 a.m.
Created at: March 30, 2026, 6:03 p.m.