Triple

T8895470
Position Surface form Disambiguated ID Type / Status
Subject Sin E211794 entity
Predicate epithet P743 FINISHED
Object Lord of the Month
Lord of the Month is an epithet of the Mesopotamian moon god Sin, highlighting his divine authority over the lunar cycle and monthly time.
 E765149 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: Lord of the Month | Statement: [Sin, epithet, Lord of the Month]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lord of the Month
Context triple: [Sin, epithet, Lord of the Month]
  • A. Lord of Amerongen
    Lord of Amerongen is a Dutch noble title historically associated with the aristocratic family of Amerongen in the Netherlands.
  • B. Lord of Moy
    Lord of Moy is a noble title historically associated with the French princely House of Lorraine.
  • C. Lord of Lambesc
    Lord of Lambesc is a noble title historically associated with a cadet branch of the influential French House of Lorraine.
  • D. Lord of Baux
    The Lord of Baux was the feudal ruler of the medieval Provençal stronghold of Les Baux, held by the influential House of Baux in southern France.
  • E. Book of Lords
    Book of Lords is the English rendering of the title of the Khwaday-Namag, a lost Middle Persian royal chronicle that recounted the legendary and historical kings of Iran.
  • 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: Lord of the Month
Triple: [Sin, epithet, Lord of the Month]
Generated description
Lord of the Month is an epithet of the Mesopotamian moon god Sin, highlighting his divine authority over the lunar cycle and monthly time.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lord of the Month
Target entity description: Lord of the Month is an epithet of the Mesopotamian moon god Sin, highlighting his divine authority over the lunar cycle and monthly time.
  • A. Lord of Amerongen
    Lord of Amerongen is a Dutch noble title historically associated with the aristocratic family of Amerongen in the Netherlands.
  • B. Lord of Moy
    Lord of Moy is a noble title historically associated with the French princely House of Lorraine.
  • C. Lord of Lambesc
    Lord of Lambesc is a noble title historically associated with a cadet branch of the influential French House of Lorraine.
  • D. Lord of Baux
    The Lord of Baux was the feudal ruler of the medieval Provençal stronghold of Les Baux, held by the influential House of Baux in southern France.
  • E. Book of Lords
    Book of Lords is the English rendering of the title of the Khwaday-Namag, a lost Middle Persian royal chronicle that recounted the legendary and historical kings of Iran.
  • 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61be2c2081908f39cccdc149872d completed April 1, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfac02974881908a7e8d9cfa47e624 completed April 3, 2026, 12:01 p.m.
NEDg Description generation batch_69cfad512ad081908e046e9d95097071 completed April 3, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_69cfadf4c1fc81908df957dc0a6308dc completed April 3, 2026, 12:09 p.m.
Created at: March 30, 2026, 6:54 p.m.