Triple

T8916968
Position Surface form Disambiguated ID Type / Status
Subject Tiamat E212316 entity
Predicate offspring P980 FINISHED
Object Lahmu
Lahmu is a protective Mesopotamian deity or mythological figure, often depicted as a bearded man with a red sash and associated with primordial waters and temple guardianship.
 E766884 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: Lahmu | Statement: [Tiamat, offspring, Lahmu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lahmu
Context triple: [Tiamat, offspring, Lahmu]
  • A. Marum
    Marum is a former municipality in the Dutch province of Groningen that became part of the larger municipality of Westerkwartier after an administrative reorganization.
  • B. Marum
    Marum is one of the main active volcanic craters on Ambrym Island in Vanuatu, known for its persistent lava lake and dramatic eruptions.
  • C. Lalsalu
    Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
  • D. Lakalai
    Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
  • E. Lakitu
    Lakitu is a recurring cloud-riding Koopa in the Super Mario series known for hovering above the player and attacking by throwing Spiny eggs.
  • 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: Lahmu
Triple: [Tiamat, offspring, Lahmu]
Generated description
Lahmu is a protective Mesopotamian deity or mythological figure, often depicted as a bearded man with a red sash and associated with primordial waters and temple guardianship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lahmu
Target entity description: Lahmu is a protective Mesopotamian deity or mythological figure, often depicted as a bearded man with a red sash and associated with primordial waters and temple guardianship.
  • A. Marum
    Marum is a former municipality in the Dutch province of Groningen that became part of the larger municipality of Westerkwartier after an administrative reorganization.
  • B. Marum
    Marum is one of the main active volcanic craters on Ambrym Island in Vanuatu, known for its persistent lava lake and dramatic eruptions.
  • C. Lalsalu
    Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
  • D. Lakalai
    Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
  • E. Lakitu
    Lakitu is a recurring cloud-riding Koopa in the Super Mario series known for hovering above the player and attacking by throwing Spiny eggs.
  • 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6610cd48819090a184c5f9465626 completed April 1, 2026, 12:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba4567a88190855b964bc6e3ac6f completed April 3, 2026, 1:01 p.m.
NEDg Description generation batch_69cfbb0db6848190a375196a021d1bb9 completed April 3, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_69cfbf7f551c819089830d16fe55599e completed April 3, 2026, 1:24 p.m.
Created at: March 30, 2026, 6:56 p.m.