Triple

T34886
Position Surface form Disambiguated ID Type / Status
Subject Atlas E693 entity
Predicate children P980 FINISHED
Object Merope
Merope is one of the Pleiades in Greek mythology, a daughter of Atlas and Pleione who became a star in the constellation Taurus.
E4629 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: Merope | Statement: [Atlas, children, Merope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merope
Context triple: [Atlas, children, Merope]
  • A. Dædalus
    Dædalus is a scholarly journal of the American Academy of Arts and Sciences that features interdisciplinary essays on culture, science, public affairs, and the arts.
  • B. Herbert
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • C. Anna
    Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
  • D. Eleni Kounalakis
    Eleni Kounalakis is an American politician and former U.S. ambassador who serves as the lieutenant governor of California.
  • E. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • 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: Merope
Triple: [Atlas, children, Merope]
Generated description
Merope is one of the Pleiades in Greek mythology, a daughter of Atlas and Pleione who became a star in the constellation Taurus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Merope
Target entity description: Merope is one of the Pleiades in Greek mythology, a daughter of Atlas and Pleione who became a star in the constellation Taurus.
  • A. Dædalus
    Dædalus is a scholarly journal of the American Academy of Arts and Sciences that features interdisciplinary essays on culture, science, public affairs, and the arts.
  • B. Herbert
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • C. Anna
    Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
  • D. Eleni Kounalakis
    Eleni Kounalakis is an American politician and former U.S. ambassador who serves as the lieutenant governor of California.
  • E. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24886d3208190bec30070a361666d completed Feb. 28, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a255322d048190b3a45c6c6a80230c completed Feb. 28, 2026, 2:38 a.m.
NEDg Description generation batch_69a255ee9c1c8190a9d1db89af34fbaf completed Feb. 28, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69a256a191bc8190a0cb3151ece43e13 completed Feb. 28, 2026, 2:44 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.