Triple

T10070972
Position Surface form Disambiguated ID Type / Status
Subject Gregory Jacobs E213623 entity
Predicate notableWork P4 FINISHED
Object Wind Chill
Wind Chill is a 2007 supernatural horror film about two college students stranded on a haunted, snowbound road trip.
 E839666 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: Wind Chill | Statement: [Gregory Jacobs, notableWork, Wind Chill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wind Chill
Context triple: [Gregory Jacobs, notableWork, Wind Chill]
  • A. Chilly
    Chilly is a stuffed snowman character from the children's animated series "Doc McStuffins," known for being a lovable but often overly worried patient in Doc's toy clinic.
  • B. Cold
    "Cold" is a song by British singer-songwriter James Blunt, known for its emotive lyrics and melodic pop style.
  • C. Cold
    "Cold" is an autobiographical book by British explorer Sir Ranulph Fiennes recounting his extreme polar expeditions and experiences in some of the harshest climates on Earth.
  • D. Cold
    "Cold" is a song by GOOD Music, best known for its collaboration between Kanye West and DJ Khaled that blends braggadocious lyrics with a hard-hitting, minimalist beat.
  • E. Cold
    Cold is a novel by British author John Gardner that blends elements of espionage and psychological suspense.
  • 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: Wind Chill
Triple: [Gregory Jacobs, notableWork, Wind Chill]
Generated description
Wind Chill is a 2007 supernatural horror film about two college students stranded on a haunted, snowbound road trip.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wind Chill
Target entity description: Wind Chill is a 2007 supernatural horror film about two college students stranded on a haunted, snowbound road trip.
  • A. Chilly
    Chilly is a stuffed snowman character from the children's animated series "Doc McStuffins," known for being a lovable but often overly worried patient in Doc's toy clinic.
  • B. Cold
    "Cold" is an autobiographical book by British explorer Sir Ranulph Fiennes recounting his extreme polar expeditions and experiences in some of the harshest climates on Earth.
  • C. Cold
    "Cold" is a song by British singer-songwriter James Blunt, known for its emotive lyrics and melodic pop style.
  • D. Cold
    "Cold" is a song by GOOD Music, best known for its collaboration between Kanye West and DJ Khaled that blends braggadocious lyrics with a hard-hitting, minimalist beat.
  • E. Cold
    Cold is a novel by British author John Gardner that blends elements of espionage and psychological suspense.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd01279388190b94c8def00425c78 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29aa05cc881909f59178e9c6c01ef completed April 5, 2026, 5:23 p.m.
NEDg Description generation batch_69d29b75634c819088c8ef750b1691d2 completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29f5007f88190b0330d1a8c551905 completed April 5, 2026, 5:43 p.m.
Created at: March 30, 2026, 8:59 p.m.