Triple

T22593445
Position Surface form Disambiguated ID Type / Status
Subject Mark Levin E565008 entity
Predicate givenName P17 FINISHED
Object Mark
Mark is a common masculine given name of Latin origin, derived from "Marcus" and historically associated with the Roman god Mars.
 E161211 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: Mark | Statement: [Mark Levin, givenName, Mark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mark
Context triple: [Mark Levin, givenName, Mark]
  • A. Mark
    Mark is a punctuation symbol used in writing systems, including those that employ the Cyrillic Extended-B Unicode block.
  • B. Mark
    The Mark was the basic unit of currency used in Germany during various historical periods, including the era of the Papiermark.
  • C. Mark
    Mark is an alternate given name associated with the American actor and comedian Jake Johnson.
  • D. Mark
    Mark is a musician known for being a member of the punk rock band The Groovie Ghoulies.
  • E. Mark
    Mark is the given name of Mark Boucher, a renowned South African cricketer and former wicket-keeper.
  • 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: Mark
Triple: [Mark Levin, givenName, Mark]
Generated description
Mark is a common masculine given name of Latin origin, derived from "Marcus" and historically associated with the Roman god Mars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mark
Target entity description: Mark is a common masculine given name of Latin origin, derived from "Marcus" and historically associated with the Roman god Mars.
  • A. Mark chosen
    Mark is a common masculine given name of Latin origin, derived from Marcus and historically associated with figures such as the evangelist Saint Mark.
  • B. Mark
    Mark is the given name of Mark Zuckerberg, the American technology entrepreneur and co-founder of Facebook.
  • C. Mark
    Mark is the given name of Mark Boucher, a renowned South African cricketer and former wicket-keeper.
  • D. Mark
    Mark is the given first name of Mark Lavon Helm, the American musician and actor best known as Levon Helm, drummer and vocalist for The Band.
  • E. Mark
    Mark is the given name of filmmaker Mark Neveldine, known for co-directing high-energy action films like the "Crank" series.
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f16163cb248190b377b110d80a6730 completed April 29, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b3d5e31308190a11bff9270795efd completed May 18, 2026, 4:25 p.m.
NEDg Description generation batch_6a0b3e908a308190af37f63904f38915 completed May 18, 2026, 4:30 p.m.
NED2 Entity disambiguation (via description) batch_6a0b3f8d85cc8190812924d466d18735 completed May 18, 2026, 4:34 p.m.
Created at: April 17, 2026, 2:49 p.m.