Triple

T5102740
Position Surface form Disambiguated ID Type / Status
Subject Seascape E115017 entity
Predicate hasCharacter P2308 FINISHED
Object Charlie
Charlie is a character featured in the work titled "Seascape."
 E499271 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: Charlie | Statement: [Seascape, hasCharacter, Charlie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Charlie
Context triple: [Seascape, hasCharacter, Charlie]
  • A. Charlie
    Charlie was the third nuclear test in the U.S. Operation Crossroads series, planned as an underwater detonation to study the effects of nuclear weapons on naval vessels.
  • B. Charlie
    Charlie is Dory’s loving but forgetful father in the animated film "Finding Dory," known for his patience, optimism, and inventive ways of helping her cope with memory loss.
  • C. Charlie
    Charlie is the given name of the British philosopher and Cambridge academic C. D. Broad.
  • D. Charlie
    Charlie is the yellow-suited captain and one of the three main playable leaders in Pikmin 3, known for commanding Pikmin on the planet PNF-404.
  • E. Charlie
    Charlie is a central character in the romantic comedy film "French Kiss," serving as the unfaithful fiancé whose actions set the story’s events in motion.
  • 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: Charlie
Triple: [Seascape, hasCharacter, Charlie]
Generated description
Charlie is a character featured in the work titled "Seascape."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Charlie
Target entity description: Charlie is a character featured in the work titled "Seascape."
  • A. Charlie
    Charlie is a central character in the romantic comedy film "French Kiss," serving as the unfaithful fiancé whose actions set the story’s events in motion.
  • B. Charlie
    Charlie is the fictional Boston subway rider in the folk song "Charlie on the MTA," known for being unable to get off the train because he lacks the fare to exit.
  • C. Charlie
    Charlie is Dory’s loving but forgetful father in the animated film "Finding Dory," known for his patience, optimism, and inventive ways of helping her cope with memory loss.
  • D. Charlie
    Charlie is the given name of the British philosopher and Cambridge academic C. D. Broad.
  • E. Charlie
    Charlie was the third nuclear test in the U.S. Operation Crossroads series, planned as an underwater detonation to study the effects of nuclear weapons on naval vessels.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7586a4a08190866aea6be625837c completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed915418c819083b6f304b7dd31db completed March 21, 2026, 5:44 p.m.
NEDg Description generation batch_69bed9f3624c8190b9d22fa0594dd767 completed March 21, 2026, 5:48 p.m.
NED2 Entity disambiguation (via description) batch_69beda5d39b88190a7314f673de2719d completed March 21, 2026, 5:50 p.m.
Created at: March 20, 2026, 1:41 p.m.