Triple

T8480084
Position Surface form Disambiguated ID Type / Status
Subject Gloria Fault E200491 entity
Predicate namedAfter P63 FINISHED
Object Gloria (oceanographic name context)
Gloria is an oceanographic research vessel whose name was given to the Gloria Fault, a major tectonic feature in the North Atlantic.
E737473 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: Gloria (oceanographic name context) | Statement: [Gloria Fault, namedAfter, Gloria (oceanographic name context)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gloria (oceanographic name context)
Context triple: [Gloria Fault, namedAfter, Gloria (oceanographic name context)]
  • A. Tess Ocean
    Tess Ocean is a central character in the Ocean's film series, known as Danny Ocean's sophisticated and sharp-witted ex-wife who becomes entangled in his elaborate heists.
  • B. Okeanos
    Okeanos is the primordial Greek god personifying the great encircling river believed to surround the world.
  • C. Océan
    Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
  • D. Océan
    Océan is a coastal department in Cameroon's South Region, known for its Atlantic shoreline and port towns.
  • E. Oceano
    Oceano is a small coastal community in California known for its dunes, beaches, and outdoor recreation.
  • 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: Gloria (oceanographic name context)
Triple: [Gloria Fault, namedAfter, Gloria (oceanographic name context)]
Generated description
Gloria is an oceanographic research vessel whose name was given to the Gloria Fault, a major tectonic feature in the North Atlantic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gloria (oceanographic name context)
Target entity description: Gloria is an oceanographic research vessel whose name was given to the Gloria Fault, a major tectonic feature in the North Atlantic.
  • A. Tess Ocean
    Tess Ocean is a central character in the Ocean's film series, known as Danny Ocean's sophisticated and sharp-witted ex-wife who becomes entangled in his elaborate heists.
  • B. Okeanos
    Okeanos is the primordial Greek god personifying the great encircling river believed to surround the world.
  • C. Océan
    Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
  • D. Océan
    Océan is a coastal department in Cameroon's South Region, known for its Atlantic shoreline and port towns.
  • E. Oceano
    Oceano is a small coastal community in California known for its dunes, beaches, and outdoor recreation.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5232d008190ae55b982f5fc9e8b completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a22d6e481908bdb0b9cc0df0113 completed April 2, 2026, 9:42 a.m.
NEDg Description generation batch_69ce3cddba648190be303823862a0423 completed April 2, 2026, 9:54 a.m.
NED2 Entity disambiguation (via description) batch_69ce3d5edabc8190b985546b8242e90a completed April 2, 2026, 9:56 a.m.
Created at: March 30, 2026, 6:12 p.m.