Triple

T1363319
Position Surface form Disambiguated ID Type / Status
Subject Magi E29144 entity
Predicate traditionalNames P17611 FINISHED
Object Melchior
Melchior is traditionally known as one of the Three Wise Men or Magi who visited the infant Jesus, often depicted as an aged king bearing gifts.
 E157036 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: Melchior | Statement: [Magi, traditionalNames, Melchior]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Melchior
Context triple: [Magi, traditionalNames, Melchior]
  • A. Gabriel
    Gabriel is a common masculine given name of Hebrew origin, widely used in many cultures and languages.
  • B. Gerard
    Gerard is a masculine given name of Germanic origin, commonly used in various European countries.
  • C. Reinhold
    Reinhold is the given first name of Reince Priebus, the American attorney and former White House Chief of Staff under President Donald Trump.
  • D. Gottfried
    Gottfried is the given name of Johann Gottfried Herder, an influential 18th-century German philosopher, theologian, and literary critic associated with the Sturm und Drang movement and early Romanticism.
  • E. Raguel
    Raguel is an archangel in Jewish and Christian tradition, often associated with justice, fairness, and harmony among angels.
  • 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: Melchior
Triple: [Magi, traditionalNames, Melchior]
Generated description
Melchior is traditionally known as one of the Three Wise Men or Magi who visited the infant Jesus, often depicted as an aged king bearing gifts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Melchior
Target entity description: Melchior is traditionally known as one of the Three Wise Men or Magi who visited the infant Jesus, often depicted as an aged king bearing gifts.
  • A. Gabriel
    Gabriel is a common masculine given name of Hebrew origin, widely used in many cultures and languages.
  • B. Gerard
    Gerard is a masculine given name of Germanic origin, commonly used in various European countries.
  • C. Reinhold
    Reinhold is the given first name of Reince Priebus, the American attorney and former White House Chief of Staff under President Donald Trump.
  • D. Gottfried
    Gottfried is the given name of Johann Gottfried Herder, an influential 18th-century German philosopher, theologian, and literary critic associated with the Sturm und Drang movement and early Romanticism.
  • E. Raguel
    Raguel is an archangel in Jewish and Christian tradition, often associated with justice, fairness, and harmony among angels.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c48e6534819090d23f3cc25093ae completed March 1, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce7449548190917277dbc715cde4 completed March 8, 2026, 1:18 a.m.
NEDg Description generation batch_69acd06d000481909f6d934e857236f0 completed March 8, 2026, 1:27 a.m.
NED2 Entity disambiguation (via description) batch_69acd17b8c508190812b241d7906992b completed March 8, 2026, 1:31 a.m.
Created at: March 1, 2026, 7:57 p.m.