Triple

T3278260
Position Surface form Disambiguated ID Type / Status
Subject Etemenanki E68809 entity
Predicate mentionedBy P831 FINISHED
Object Berosus
Berosus was a Hellenistic-era Babylonian priest and historian known for writing a Greek-language history of Babylonia that preserved Mesopotamian myths, traditions, and astronomical knowledge.
E344843 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: Berosus | Statement: [Etemenanki, mentionedBy, Berosus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berosus
Context triple: [Etemenanki, mentionedBy, Berosus]
  • A. Maurus
    Maurus is a masculine given name of Latin origin, historically associated with early Christian saints and used as a variant of names like Maurice.
  • B. Orlybus
    Orlybus is a dedicated airport shuttle bus service connecting central Paris with Orly Airport.
  • C. Hyas
    Hyas is a figure in Greek mythology, often associated with the Hyades as their brother and linked to myths explaining the origin of certain constellations or rain-bringing stars.
  • D. Critobulus
    Critobulus was an ancient Athenian known from Plato’s dialogues as the son of Crito and an associate of Socrates.
  • E. Ambrysus
    Ambrysus was an ancient Greek city in the region of Phocis, known for its strategic location and role in classical Greek history.
  • 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: Berosus
Triple: [Etemenanki, mentionedBy, Berosus]
Generated description
Berosus was a Hellenistic-era Babylonian priest and historian known for writing a Greek-language history of Babylonia that preserved Mesopotamian myths, traditions, and astronomical knowledge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Berosus
Target entity description: Berosus was a Hellenistic-era Babylonian priest and historian known for writing a Greek-language history of Babylonia that preserved Mesopotamian myths, traditions, and astronomical knowledge.
  • A. Maurus
    Maurus is a masculine given name of Latin origin, historically associated with early Christian saints and used as a variant of names like Maurice.
  • B. Orlybus
    Orlybus is a dedicated airport shuttle bus service connecting central Paris with Orly Airport.
  • C. Hyas
    Hyas is a figure in Greek mythology, often associated with the Hyades as their brother and linked to myths explaining the origin of certain constellations or rain-bringing stars.
  • D. Critobulus
    Critobulus was an ancient Athenian known from Plato’s dialogues as the son of Crito and an associate of Socrates.
  • E. Ambrysus
    Ambrysus was an ancient Greek city in the region of Phocis, known for its strategic location and role in classical Greek history.
  • 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb013de048190bcaac732caa6b174 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e84ddd24819094a47269023f9889 completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e8d04e508190916455fa2f4702b5 completed March 12, 2026, 4:24 p.m.
NED2 Entity disambiguation (via description) batch_69b2ed0f862c81909d9a279bea549339 completed March 12, 2026, 4:42 p.m.
Created at: March 8, 2026, 3:10 p.m.