Triple

T15894007
Position Surface form Disambiguated ID Type / Status
Subject Mark Flanagan (British political adviser) E385403 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 Flanagan (British political adviser), givenName, Mark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark
Context triple: [Mark Flanagan (British political adviser), 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 the first name of Mark Cuban, the American billionaire entrepreneur and owner of the NBA’s Dallas Mavericks.
  • D. Mark
    Mark is a river in the southern Netherlands and northern Belgium that flows through the province of North Brabant before joining the Dintel.
  • E. Mark
    Mark is the introspective, emotionally detached young man who returns to his New Jersey hometown and undergoes a journey of self-discovery in the film "Garden State."
  • 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 Flanagan (British political adviser), 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 filmmaker Mark Neveldine, known for co-directing high-energy action films like the "Crank" series.
  • D. Mark
    Mark is the real first name of The Undertaker, the legendary professional wrestler best known for his long-running career in WWE.
  • E. Mark
    Mark is the first name of Mark Cuban, the American billionaire entrepreneur and owner of the NBA’s Dallas Mavericks.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563809748190a54156b946d3f061 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0497cb481908e8ea4ebb9c4039d completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb1b0ac6481908d2e6106c0984d21 completed May 9, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69ffb2461ea48190ba05f7da71b0f80f completed May 9, 2026, 10:16 p.m.
Created at: April 10, 2026, 4:51 a.m.