Triple

T9195255
Position Surface form Disambiguated ID Type / Status
Subject Mark Rendall E220689 entity
Predicate notableWork P4 FINISHED
Object Childstar
Childstar is a Canadian comedy-drama film that satirizes the world of child actors and early fame.
 E783630 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: Childstar | Statement: [Mark Rendall, notableWork, Childstar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Childstar
Context triple: [Mark Rendall, notableWork, Childstar]
  • A. Little Miss Broadway
    Little Miss Broadway is a 1938 American musical film starring Shirley Temple, known for its blend of song, dance, and heartwarming drama.
  • B. Rising Star
    Rising Star is a country-pop song by Canadian singer-songwriter and actress MacKenzie Porter.
  • C. Rising Star
    Rising Star is a trance music alias used by Dutch DJ and producer Armin van Buuren for his more classic, uplifting trance productions.
  • D. Kiddyland
    Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
  • E. Charles in Charge
    Charles in Charge is an American sitcom from the 1980s about a college student who works as a live-in babysitter for a suburban family.
  • 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: Childstar
Triple: [Mark Rendall, notableWork, Childstar]
Generated description
Childstar is a Canadian comedy-drama film that satirizes the world of child actors and early fame.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Childstar
Target entity description: Childstar is a Canadian comedy-drama film that satirizes the world of child actors and early fame.
  • A. Little Miss Broadway
    Little Miss Broadway is a 1938 American musical film starring Shirley Temple, known for its blend of song, dance, and heartwarming drama.
  • B. Rising Star
    Rising Star is a trance music alias used by Dutch DJ and producer Armin van Buuren for his more classic, uplifting trance productions.
  • C. Rising Star
    Rising Star is a country-pop song by Canadian singer-songwriter and actress MacKenzie Porter.
  • D. Kiddyland
    Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
  • E. Charles in Charge
    Charles in Charge is an American sitcom from the 1980s about a college student who works as a live-in babysitter for a suburban family.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd87c3a3c8190b60f19873ef6e1f8 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c36d7208190a593923bad3d18e7 completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05cb45280819096747ff8f7d5c2a0 completed April 4, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_69d05d5d29f4819081c28b24cb2058b0 completed April 4, 2026, 12:37 a.m.
Created at: March 30, 2026, 7:25 p.m.