Triple

T13006092
Position Surface form Disambiguated ID Type / Status
Subject Micah Stock E322290 entity
Predicate notableWork P4 FINISHED
Object Bonding
Bonding is a dark comedy television series that follows a grad student who becomes the assistant to his dominatrix best friend in New York City.
 E1015865 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: Bonding | Statement: [Micah Stock, notableWork, Bonding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bonding
Context triple: [Micah Stock, notableWork, Bonding]
  • A. binding
    Binding is a central concept in generative syntax that explains how pronouns and other noun phrases can or cannot refer to each other within sentence structure.
  • B. The Ties That Bind
    "The Ties That Bind" is a song by Bruce Springsteen, best known as the opening track of his 1980 album "The River."
  • C. Bound
    Bound is a 1996 neo-noir crime thriller film known for its stylish direction, lesbian romance, and intricate heist plot, directed by the Wachowskis and starring Gina Gershon and Jennifer Tilly.
  • D. Bondy
    Bondy is a suburban commune in the northeastern outskirts of Paris, France, served by regional rail and other public transport links into the capital.
  • E. OND
    OND is the official vehicle registration code used on license plates to identify vehicles registered in Ondo State, Nigeria.
  • 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: Bonding
Triple: [Micah Stock, notableWork, Bonding]
Generated description
Bonding is a dark comedy television series that follows a grad student who becomes the assistant to his dominatrix best friend in New York City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bonding
Target entity description: Bonding is a dark comedy television series that follows a grad student who becomes the assistant to his dominatrix best friend in New York City.
  • A. binding
    Binding is a central concept in generative syntax that explains how pronouns and other noun phrases can or cannot refer to each other within sentence structure.
  • B. The Ties That Bind
    "The Ties That Bind" is a song by Bruce Springsteen, best known as the opening track of his 1980 album "The River."
  • C. Bound
    Bound is a 1996 neo-noir crime thriller film known for its stylish direction, lesbian romance, and intricate heist plot, directed by the Wachowskis and starring Gina Gershon and Jennifer Tilly.
  • D. Bondy
    Bondy is a suburban commune in the northeastern outskirts of Paris, France, served by regional rail and other public transport links into the capital.
  • E. OND
    OND is the official vehicle registration code used on license plates to identify vehicles registered in Ondo State, Nigeria.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9b27ec8190815c40a05b9ba7d0 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c109e59481909fc46b152034c6a9 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c20a1eb881908a28dc884c2005ef completed May 3, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f6c34b9ec08190bb29458b6f43c388 completed May 3, 2026, 3:38 a.m.
Created at: April 9, 2026, 8:48 p.m.