Triple

T5266804
Position Surface form Disambiguated ID Type / Status
Subject Blue Planet II E118956 entity
Predicate hasPart P35 FINISHED
Object Big Blue
Big Blue is a notable episode of the BBC nature documentary series "Blue Planet II" that focuses on the vast ecosystems and wildlife of the open ocean.
 E507487 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: Big Blue | Statement: [Blue Planet II, hasPart, Big Blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Big Blue
Context triple: [Blue Planet II, hasPart, Big Blue]
  • A. Big Blue
    Big Blue is the widely used nickname for the New York Giants, a professional American football team in the NFL.
  • B. Big Blue
    Big Blue is the costumed mascot character representing Bluefield State University at its athletic events and campus activities.
  • C. Big Blue
    Big Blue is the popular nickname of the Canadian Football League team the Winnipeg Blue Bombers.
  • D. Big Blue
    Big Blue is the lion mascot of Old Dominion University, representing the school's athletic teams and campus spirit.
  • E. The Big Blue
    The Big Blue is a 1988 French film by Luc Besson that follows the intense rivalry and friendship between two champion free divers against the backdrop of the Mediterranean Sea.
  • 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: Big Blue
Triple: [Blue Planet II, hasPart, Big Blue]
Generated description
Big Blue is a notable episode of the BBC nature documentary series "Blue Planet II" that focuses on the vast ecosystems and wildlife of the open ocean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Big Blue
Target entity description: Big Blue is a notable episode of the BBC nature documentary series "Blue Planet II" that focuses on the vast ecosystems and wildlife of the open ocean.
  • A. Big Blue
    Big Blue is the widely used nickname for the New York Giants, a professional American football team in the NFL.
  • B. Big Blue
    Big Blue is the costumed mascot character representing Bluefield State University at its athletic events and campus activities.
  • C. Big Blue
    Big Blue is the popular nickname of the Canadian Football League team the Winnipeg Blue Bombers.
  • D. Big Blue
    Big Blue is the lion mascot of Old Dominion University, representing the school's athletic teams and campus spirit.
  • E. The Big Blue
    The Big Blue is a 1988 French film by Luc Besson that follows the intense rivalry and friendship between two champion free divers against the backdrop of the Mediterranean Sea.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bfabf9c819098f961243c31e508 completed March 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe8e5c948190a807a99bd35f710d completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff3029dc8190b4dc5e207a2bfa03 completed March 21, 2026, 8:27 p.m.
NED2 Entity disambiguation (via description) batch_69befffc0e388190a02624d4f466a2a9 completed March 21, 2026, 8:30 p.m.
Created at: March 20, 2026, 1:51 p.m.