Triple

T19797287
Position Surface form Disambiguated ID Type / Status
Subject Tharon Musser E475576 entity
Predicate givenName P17 FINISHED
Object Tharon
Tharon is a given name most notably associated with Tharon Musser, a pioneering American lighting designer for Broadway theatre.
 E1395648 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: Tharon | Statement: [Tharon Musser, givenName, Tharon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tharon
Context triple: [Tharon Musser, givenName, Tharon]
  • A. Tharad
    Tharad is a town in the Banaskantha district of Gujarat, India, known historically as a regional trading and administrative center.
  • B. Tharils
    Tharils are a time-sensitive, leonine humanoid species from the Doctor Who universe, known for their ability to navigate the time winds and their former empire built on temporal mastery.
  • C. Zarthan
    Zarthan is an alternative name for the biblical town of Zeredah, mentioned in the Hebrew Bible.
  • D. Thoron
    Thoron is a locality associated with the area of Essa, likely a small community or settlement within that region.
  • E. Thallern
    Thallern is a locality or subdivision within the Austrian city of Krems an der Donau, situated in the Wachau region along the Danube River.
  • 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: Tharon
Triple: [Tharon Musser, givenName, Tharon]
Generated description
Tharon is a given name most notably associated with Tharon Musser, a pioneering American lighting designer for Broadway theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tharon
Target entity description: Tharon is a given name most notably associated with Tharon Musser, a pioneering American lighting designer for Broadway theatre.
  • A. Tharad
    Tharad is a town in the Banaskantha district of Gujarat, India, known historically as a regional trading and administrative center.
  • B. Tharils
    Tharils are a time-sensitive, leonine humanoid species from the Doctor Who universe, known for their ability to navigate the time winds and their former empire built on temporal mastery.
  • C. Zarthan
    Zarthan is an alternative name for the biblical town of Zeredah, mentioned in the Hebrew Bible.
  • D. Thoron
    Thoron is a locality associated with the area of Essa, likely a small community or settlement within that region.
  • E. Thallern
    Thallern is a locality or subdivision within the Austrian city of Krems an der Donau, situated in the Wachau region along the Danube River.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c877288190b56ee7eedea710a3 completed April 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07c504a21c819080be22b7219a0016 completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c66178108190a6fc2d7566af44ad completed May 16, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_6a07c73b731881909c8abaeb541e34f9 completed May 16, 2026, 1:24 a.m.
Created at: April 10, 2026, 1:49 p.m.