Triple

T4209420
Position Surface form Disambiguated ID Type / Status
Subject The Terror E93863 entity
Predicate executiveProducer P7225 FINISHED
Object Soo Hugh
Soo Hugh is a television writer and producer known for developing and showrunning series such as the historical horror drama "The Terror."
E421848 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: Soo Hugh | Statement: [The Terror, executiveProducer, Soo Hugh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soo Hugh
Context triple: [The Terror, executiveProducer, Soo Hugh]
  • A. Sylvia Moy
    Sylvia Moy was an influential American songwriter and producer best known for her work at Motown Records, where she co-wrote numerous hits for artists such as Stevie Wonder.
  • B. Margo Lee
    Margo Lee is an actress known for her role in the Australian musical comedy film "Starstruck" (1982).
  • C. Lila Lee
    Lila Lee was a popular American silent film actress of the 1910s and 1920s, known for her girl-next-door charm and roles in major productions of the era.
  • D. Maysie Hoy
    Maysie Hoy is a Canadian film editor known for her work on numerous feature films, including collaborations with prominent directors such as Tyler Perry.
  • E. Alice Lee
    Alice Lee was an American lawyer and the older sister of author Harper Lee, known for her long legal career in Monroeville, Alabama and for helping manage her sister’s affairs.
  • 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: Soo Hugh
Triple: [The Terror, executiveProducer, Soo Hugh]
Generated description
Soo Hugh is a television writer and producer known for developing and showrunning series such as the historical horror drama "The Terror."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Soo Hugh
Target entity description: Soo Hugh is a television writer and producer known for developing and showrunning series such as the historical horror drama "The Terror."
  • A. Sylvia Moy
    Sylvia Moy was an influential American songwriter and producer best known for her work at Motown Records, where she co-wrote numerous hits for artists such as Stevie Wonder.
  • B. Margo Lee
    Margo Lee is an actress known for her role in the Australian musical comedy film "Starstruck" (1982).
  • C. Lila Lee
    Lila Lee was a popular American silent film actress of the 1910s and 1920s, known for her girl-next-door charm and roles in major productions of the era.
  • D. Maysie Hoy
    Maysie Hoy is a Canadian film editor known for her work on numerous feature films, including collaborations with prominent directors such as Tyler Perry.
  • E. Alice Lee
    Alice Lee was an American lawyer and the older sister of author Harper Lee, known for her long legal career in Monroeville, Alabama and for helping manage her sister’s affairs.
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b3480f80208190b08ca6ccfe9c41f6 completed March 12, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5962ec4f8819085bef81ce71aa132 completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b596eb6c288190a63c61d5e71c609b completed March 14, 2026, 5:12 p.m.
NED2 Entity disambiguation (via description) batch_69b59788ef308190a34c2f23f22a7e4d completed March 14, 2026, 5:14 p.m.
Created at: March 12, 2026, 11:03 p.m.