Triple

T4189543
Position Surface form Disambiguated ID Type / Status
Subject Jeremy Paxman E88999 entity
Predicate givenName P17 FINISHED
Object Jeremy
Jeremy is a masculine given name of biblical origin that has been widely used in English-speaking countries.
 E162435 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: Jeremy | Statement: [Jeremy Paxman, givenName, Jeremy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jeremy
Context triple: [Jeremy Paxman, givenName, Jeremy]
  • A. Jeremy
    "Jeremy" is a widely acclaimed Pearl Jam song, known for its haunting narrative about a troubled youth and its powerful, socially charged music video.
  • B. Jeremy
    Jeremy is one of the central male protagonists in the romantic comedy film "Think Like a Man," which follows a group of men whose relationships are upended when their partners start using advice from Steve Harvey’s dating book.
  • C. Jonathan
    Jonathan is a common masculine given name of Hebrew origin, meaning "Yahweh has given."
  • D. Justin
    Justin is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks and their impact on personal and collective identity.
  • E. Justin
    Justin is a central character in the 1997 science fiction horror film "Event Horizon," serving as one of the crew members who experiences the ship’s disturbing and reality-warping effects.
  • 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: Jeremy
Triple: [Jeremy Paxman, givenName, Jeremy]
Generated description
Jeremy is a masculine given name of biblical origin that has been widely used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jeremy
Target entity description: Jeremy is a masculine given name of biblical origin that has been widely used in English-speaking countries.
  • A. Jeremy
    Jeremy is one of the central male protagonists in the romantic comedy film "Think Like a Man," which follows a group of men whose relationships are upended when their partners start using advice from Steve Harvey’s dating book.
  • B. Jeremy chosen
    "Jeremy" is a widely acclaimed Pearl Jam song, known for its haunting narrative about a troubled youth and its powerful, socially charged music video.
  • C. Jonathan
    Jonathan is a common masculine given name of Hebrew origin, meaning "Yahweh has given."
  • D. Justin
    Justin is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks and their impact on personal and collective identity.
  • E. Justin
    Justin is a central character in the 1997 science fiction horror film "Event Horizon," serving as one of the crew members who experiences the ship’s disturbing and reality-warping effects.
  • F. None of above.

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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af033ef6648190adde17f943d89c78 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a05e634819094bbe145f86d8786 completed March 14, 2026, 4:17 p.m.
NEDg Description generation batch_69b58e337aec819092020d46ee235fd1 completed March 14, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_69b58e9f50948190a40254375e76153c completed March 14, 2026, 4:36 p.m.
Created at: March 9, 2026, 3:46 p.m.