Triple

T4901459
Position Surface form Disambiguated ID Type / Status
Subject Jane Adams E109806 entity
Predicate notableWork P4 FINISHED
Object Hung
Hung is an American comedy-drama television series that aired on HBO, following a struggling high school coach who turns to an unusual side job to make ends meet.
 E478626 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: Hung | Statement: [Jane Adams, notableWork, Hung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hung
Context triple: [Jane Adams, notableWork, Hung]
  • A. Hol
    Hol is a rural municipality in Viken county, Norway, known for its mountainous landscapes, winter sports tourism, and traditional Norwegian culture.
  • B. Ham
    Ham is a suburban riverside district in southwest London, England, known for its historic houses, green spaces, and proximity to the River Thames.
  • C. Ham
    Ham is a biblical figure known as one of Noah’s sons and a progenitor of several ancient peoples mentioned in the Hebrew Bible.
  • D. Ham
    Ham is a small town in the Somme department of northern France, known historically for its medieval fortress and strategic location.
  • E. Haynt
    Haynt was a Yiddish-language newspaper that served as an important platform for Jewish journalism and literature in early 20th-century Eastern Europe.
  • 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: Hung
Triple: [Jane Adams, notableWork, Hung]
Generated description
Hung is an American comedy-drama television series that aired on HBO, following a struggling high school coach who turns to an unusual side job to make ends meet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hung
Target entity description: Hung is an American comedy-drama television series that aired on HBO, following a struggling high school coach who turns to an unusual side job to make ends meet.
  • A. Hol
    Hol is a rural municipality in Viken county, Norway, known for its mountainous landscapes, winter sports tourism, and traditional Norwegian culture.
  • B. Ham
    Ham is a suburban riverside district in southwest London, England, known for its historic houses, green spaces, and proximity to the River Thames.
  • C. Ham
    Ham is a small town in the Somme department of northern France, known historically for its medieval fortress and strategic location.
  • D. Ham
    Ham is a biblical figure known as one of Noah’s sons and a progenitor of several ancient peoples mentioned in the Hebrew Bible.
  • E. Haynt
    Haynt was a Yiddish-language newspaper that served as an important platform for Jewish journalism and literature in early 20th-century Eastern Europe.
  • 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_69bd441180708190ba42ffb44fea533a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e4dd6bc819094b1cbf533510995 completed March 20, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fd2a0348190a285ea1a62e7ae1b completed March 21, 2026, 10:15 a.m.
NEDg Description generation batch_69be70752384819088ce3b6d00dd166a completed March 21, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69be7126d1648190b3b0aa89891f02df completed March 21, 2026, 10:21 a.m.
Created at: March 20, 2026, 1:28 p.m.