Triple

T16709874
Position Surface form Disambiguated ID Type / Status
Subject How to Ride a Horse E406077 entity
Predicate hasFormat P130 FINISHED
Object technicolor
Technicolor is a pioneering color motion picture process and company renowned for bringing richly saturated color to early Hollywood films.
E1229765 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: technicolor | Statement: [How to Ride a Horse, hasFormat, technicolor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: technicolor
Context triple: [How to Ride a Horse, hasFormat, technicolor]
  • A. In Technicolor
    "In Technicolor" is a retro-inspired pop album by American singer Jesse McCartney that showcases a more mature, soulful sound influenced by funk and R&B.
  • B. TCL
    TCL is the FAA location identifier code for Tuscaloosa National Airport in Tuscaloosa, Alabama.
  • C. TCL
    TCL is the public transport network operator serving Lyon and its metropolitan area in France, managing buses, trams, and metro services.
  • D. The Technicolor Phase
    The Technicolor Phase is a whimsical, dreamlike indie pop song by Owl City known for its vivid imagery and gentle electronic sound.
  • E. Trucolor
    Trucolor was a mid-20th-century color motion picture process developed by Republic Pictures, used primarily in their Westerns and adventure films.
  • 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: technicolor
Triple: [How to Ride a Horse, hasFormat, technicolor]
Generated description
Technicolor is a pioneering color motion picture process and company renowned for bringing richly saturated color to early Hollywood films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: technicolor
Target entity description: Technicolor is a pioneering color motion picture process and company renowned for bringing richly saturated color to early Hollywood films.
  • A. In Technicolor
    "In Technicolor" is a retro-inspired pop album by American singer Jesse McCartney that showcases a more mature, soulful sound influenced by funk and R&B.
  • B. TCL
    TCL is the FAA location identifier code for Tuscaloosa National Airport in Tuscaloosa, Alabama.
  • C. TCL
    TCL is the public transport network operator serving Lyon and its metropolitan area in France, managing buses, trams, and metro services.
  • D. The Technicolor Phase
    The Technicolor Phase is a whimsical, dreamlike indie pop song by Owl City known for its vivid imagery and gentle electronic sound.
  • E. Trucolor
    Trucolor was a mid-20th-century color motion picture process developed by Republic Pictures, used primarily in their Westerns and adventure films.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3865186b48190bb45a761f5cf1a83 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a739308190b4d645e096d1710b completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a00935ad86881908c45cdb513313a1d completed May 10, 2026, 2:16 p.m.
NED2 Entity disambiguation (via description) batch_6a009a0bd7f8819090fb16d88108b96d completed May 10, 2026, 2:45 p.m.
Created at: April 10, 2026, 5:20 a.m.