Triple

T10261512
Position Surface form Disambiguated ID Type / Status
Subject Speechless E240608 entity
Predicate producer P490 FINISHED
Object Fanatic
Fanatic is a 1996 American thriller film starring William Baldwin and directed by Tony Scott, centered on an obsessive fan whose fixation turns dangerously violent.
 E851660 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: Fanatic | Statement: [Speechless, producer, Fanatic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fanatic
Context triple: [Speechless, producer, Fanatic]
  • A. Fanatikerne
    Fanatikerne is a notable painting by Norwegian artist Adolph Tidemand depicting religious zealots in a dramatic, realist style.
  • B. Fan
    Fan is a common Chinese surname borne by numerous historical and contemporary figures across politics, arts, sports, and other fields.
  • C. Diehard
    Diehard is a well-known, short-lived pattern in Conway’s Game of Life that survives for many generations before eventually disappearing.
  • D. Big Fan
    Big Fan is a dark comedy-drama film about an obsessive New York Giants fan whose life unravels after a violent encounter with his favorite player.
  • E. Appassionato
    Appassionato is a jazz album by virtuoso guitarist Joe Pass, showcasing his refined technique and lyrical improvisation.
  • 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: Fanatic
Triple: [Speechless, producer, Fanatic]
Generated description
Fanatic is a 1996 American thriller film starring William Baldwin and directed by Tony Scott, centered on an obsessive fan whose fixation turns dangerously violent.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fanatic
Target entity description: Fanatic is a 1996 American thriller film starring William Baldwin and directed by Tony Scott, centered on an obsessive fan whose fixation turns dangerously violent.
  • A. Fanatikerne
    Fanatikerne is a notable painting by Norwegian artist Adolph Tidemand depicting religious zealots in a dramatic, realist style.
  • B. Fan
    Fan is a common Chinese surname borne by numerous historical and contemporary figures across politics, arts, sports, and other fields.
  • C. Diehard
    Diehard is a well-known, short-lived pattern in Conway’s Game of Life that survives for many generations before eventually disappearing.
  • D. Big Fan
    Big Fan is a dark comedy-drama film about an obsessive New York Giants fan whose life unravels after a violent encounter with his favorite player.
  • E. Appassionato
    Appassionato is a jazz album by virtuoso guitarist Joe Pass, showcasing his refined technique and lyrical improvisation.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d25c8dec8190af9160d9338ffc9c completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7f81dd481909022efde8fc46e68 completed April 9, 2026, 12:51 a.m.
NEDg Description generation batch_69d6fcabb5a08190a26c068163f48878 completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd7212b88190b410b8e1cc6f56fd completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:32 a.m.