Triple

T6765336
Position Surface form Disambiguated ID Type / Status
Subject Atum E154704 entity
Predicate alsoKnownAs P39 FINISHED
Object Temu
Temu is an ancient Egyptian creator god, a form of the sun god Atum associated with the setting sun and the completion of creation.
 E617531 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: Temu | Statement: [Atum, alsoKnownAs, Temu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Temu
Context triple: [Atum, alsoKnownAs, Temu]
  • A. Tuya
    Tuya was an influential queen of Egypt’s 19th Dynasty, best known as the wife of Seti I and the mother of Pharaoh Ramesses II.
  • B. Anytos
    Anytos is a figure from Greek mythology known primarily as a Titan or divine guardian associated with the Arcadian goddess Despoina.
  • C. Kogan
    Kogan is a variant form of the Jewish surname Cohen, often arising from transliteration or regional spelling differences.
  • D. Loggos
    Loggos is a small, picturesque coastal village on the Greek island of Paxos, known for its harbor, traditional tavernas, and relaxed atmosphere.
  • E. Engativá
    Engativá is a locality in the northwestern part of Bogotá, Colombia, characterized by dense residential areas, commercial zones, and significant transport infrastructure.
  • 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: Temu
Triple: [Atum, alsoKnownAs, Temu]
Generated description
Temu is an ancient Egyptian creator god, a form of the sun god Atum associated with the setting sun and the completion of creation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Temu
Target entity description: Temu is an ancient Egyptian creator god, a form of the sun god Atum associated with the setting sun and the completion of creation.
  • A. Tuya
    Tuya was an influential queen of Egypt’s 19th Dynasty, best known as the wife of Seti I and the mother of Pharaoh Ramesses II.
  • B. Anytos
    Anytos is a figure from Greek mythology known primarily as a Titan or divine guardian associated with the Arcadian goddess Despoina.
  • C. Kogan
    Kogan is a variant form of the Jewish surname Cohen, often arising from transliteration or regional spelling differences.
  • D. Loggos
    Loggos is a small, picturesque coastal village on the Greek island of Paxos, known for its harbor, traditional tavernas, and relaxed atmosphere.
  • E. Engativá
    Engativá is a locality in the northwestern part of Bogotá, Colombia, characterized by dense residential areas, commercial zones, and significant transport infrastructure.
  • 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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d22ed30881909e1bfcfb8cf175a2 completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712be7f9c8190b2667fc4c8d5f601 completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c713842b9c8190ae31eba0bd449968 completed March 27, 2026, 11:32 p.m.
NED2 Entity disambiguation (via description) batch_69c71444e9ec8190a68531ed29fd9377 completed March 27, 2026, 11:35 p.m.
Created at: March 27, 2026, 2:12 p.m.