Triple

T6556130
Position Surface form Disambiguated ID Type / Status
Subject Marc Maron E152451 entity
Predicate notableWork P4 FINISHED
Object Maron
Maron is a semi-autobiographical comedy television series created by and starring comedian Marc Maron, loosely based on his life and career.
 E604789 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: Maron | Statement: [Marc Maron, notableWork, Maron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maron
Context triple: [Marc Maron, notableWork, Maron]
  • A. Marino
    Marino is a surname most famously associated with Dan Marino, the Hall of Fame former NFL quarterback for the Miami Dolphins.
  • B. Marino
    Marino is a historic town in Italy’s Alban Hills near Rome, known for its wine production and annual grape festival.
  • C. Mateur
    Mateur is a town in northern Tunisia known as an agricultural and transport hub situated near Lake Ichkeul.
  • D. Melide
    Melide is a Swiss municipality in the canton of Ticino, known for its scenic location on Lake Lugano and the Swissminiatur open-air miniature park.
  • E. Sebaste
    Sebaste was an ancient city in the central highlands of Samaria, refounded and expanded by Herod the Great as a major Hellenistic-Roman urban center.
  • 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: Maron
Triple: [Marc Maron, notableWork, Maron]
Generated description
Maron is a semi-autobiographical comedy television series created by and starring comedian Marc Maron, loosely based on his life and career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maron
Target entity description: Maron is a semi-autobiographical comedy television series created by and starring comedian Marc Maron, loosely based on his life and career.
  • A. Marino
    Marino is a surname most famously associated with Dan Marino, the Hall of Fame former NFL quarterback for the Miami Dolphins.
  • B. Marino
    Marino is a historic town in Italy’s Alban Hills near Rome, known for its wine production and annual grape festival.
  • C. Mateur
    Mateur is a town in northern Tunisia known as an agricultural and transport hub situated near Lake Ichkeul.
  • D. Melide
    Melide is a Swiss municipality in the canton of Ticino, known for its scenic location on Lake Lugano and the Swissminiatur open-air miniature park.
  • E. Sebaste
    Sebaste was an ancient city in the central highlands of Samaria, refounded and expanded by Herod the Great as a major Hellenistic-Roman urban center.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae1d28bc8190a2fa4b3e1e39863c completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d559ad4881909c1e7712d84945f6 completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d676e43081909bf2a9cceff0b9b3 completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d84076d48190ada0903af49613de completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:51 p.m.