Triple

T10114106
Position Surface form Disambiguated ID Type / Status
Subject Bart D. Ehrman E218312 entity
Predicate notableWork P4 FINISHED
Object Forged
Forged is a scholarly book by Bart D. Ehrman that examines the prevalence and implications of literary forgery in early Christian writings.
E842384 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: Forged | Statement: [Bart D. Ehrman, notableWork, Forged]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forged
Context triple: [Bart D. Ehrman, notableWork, Forged]
  • A. The Forge
    "The Forge" is a poem by Seamus Heaney that meditates on traditional craftsmanship and creative labor through the metaphor of a blacksmith’s workshop.
  • B. Cold Irons Bound
    "Cold Irons Bound" is a Grammy-winning, blues-infused song by Bob Dylan, noted for its dense, apocalyptic lyrics and murky, atmospheric production.
  • C. Iron Will
    Iron Will is a 1994 Disney adventure film about a young man racing his sled dogs across the wilderness to save his family’s farm.
  • D. Ironbound
    Ironbound is a vibrant, historically immigrant-rich neighborhood in Newark, New Jersey, known for its Portuguese, Brazilian, and Latin American culture, restaurants, and nightlife.
  • E. Men of Iron
    Men of Iron is a historical adventure novel by Howard Pyle that follows the coming-of-age and knighthood of a young squire in 15th-century England.
  • 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: Forged
Triple: [Bart D. Ehrman, notableWork, Forged]
Generated description
Forged is a scholarly book by Bart D. Ehrman that examines the prevalence and implications of literary forgery in early Christian writings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Forged
Target entity description: Forged is a scholarly book by Bart D. Ehrman that examines the prevalence and implications of literary forgery in early Christian writings.
  • A. The Forge
    "The Forge" is a poem by Seamus Heaney that meditates on traditional craftsmanship and creative labor through the metaphor of a blacksmith’s workshop.
  • B. Cold Irons Bound
    "Cold Irons Bound" is a Grammy-winning, blues-infused song by Bob Dylan, noted for its dense, apocalyptic lyrics and murky, atmospheric production.
  • C. Iron Will
    Iron Will is a 1994 Disney adventure film about a young man racing his sled dogs across the wilderness to save his family’s farm.
  • D. Ironbound
    Ironbound is a vibrant, historically immigrant-rich neighborhood in Newark, New Jersey, known for its Portuguese, Brazilian, and Latin American culture, restaurants, and nightlife.
  • E. Men of Iron
    Men of Iron is a historical adventure novel by Howard Pyle that follows the coming-of-age and knighthood of a young squire in 15th-century England.
  • 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_69ca83da93fc8190b54e44bc2b34857c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd15ffcd48190825800611aab2aab completed April 2, 2026, 2:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc2b00488190acca51a797beed45 completed April 5, 2026, 8:55 p.m.
NEDg Description generation batch_69d2cda6452c81908d67ea322da3cf70 completed April 5, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_69d2ce6da82081908ca6b3621971ca9a completed April 5, 2026, 9:04 p.m.
Created at: March 30, 2026, 9:04 p.m.