Triple

T7989870
Position Surface form Disambiguated ID Type / Status
Subject Lowell Ganz E185973 entity
Predicate notableWork P4 FINISHED
Object Mulaney
Mulaney is a short-lived semi-autobiographical sitcom created by and starring comedian John Mulaney.
 E702817 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: Mulaney | Statement: [Lowell Ganz, notableWork, Mulaney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mulaney
Context triple: [Lowell Ganz, notableWork, Mulaney]
  • A. Tinée
    Tinée is a river in southeastern France that flows through the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur region.
  • B. Lány
    Lány is a village and chateau area in the Czech Republic known as the site of the presidential summer residence and the place where the first Czechoslovak president Tomáš Garrigue Masaryk died.
  • C. Glennie
    Glennie is a Scottish surname most notably borne by Dame Evelyn Glennie, the renowned virtuoso percussionist.
  • D. Lulu
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • E. Nikkiya
    Nikkiya is an American singer and rapper known for her collaborations in hip-hop and R&B, particularly with producer and artist K.E. on the Track (Keys).
  • 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: Mulaney
Triple: [Lowell Ganz, notableWork, Mulaney]
Generated description
Mulaney is a short-lived semi-autobiographical sitcom created by and starring comedian John Mulaney.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mulaney
Target entity description: Mulaney is a short-lived semi-autobiographical sitcom created by and starring comedian John Mulaney.
  • A. Tinée
    Tinée is a river in southeastern France that flows through the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur region.
  • B. Lány
    Lány is a village and chateau area in the Czech Republic known as the site of the presidential summer residence and the place where the first Czechoslovak president Tomáš Garrigue Masaryk died.
  • C. Glennie
    Glennie is a Scottish surname most notably borne by Dame Evelyn Glennie, the renowned virtuoso percussionist.
  • D. Lulu
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • E. Nikkiya
    Nikkiya is an American singer and rapper known for her collaborations in hip-hop and R&B, particularly with producer and artist K.E. on the Track (Keys).
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4f98808190879113ad4af9bb4d completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0f5c22881908044a178d670684c completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cbe43f883081908768a7314409b622 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc34c6cf6881909b28a0b6882b518d completed March 31, 2026, 8:55 p.m.
Created at: March 30, 2026, 5:16 p.m.