Triple

T38283194
Position Surface form Disambiguated ID Type / Status
Subject Team Zissou E1022131 entity
Predicate hasMember P10 FINISHED
Object Pelé dos Santos
Pelé dos Santos is a fictional Brazilian musician and crew member of Team Zissou in Wes Anderson’s film "The Life Aquatic with Steve Zissou," known for performing David Bowie songs in Portuguese.
E2266978 NE FINISHED

How this triple was built (2 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: Pelé dos Santos | Statement: [Team Zissou, hasMember, Pelé dos Santos]
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: Pelé dos Santos
Triple: [Team Zissou, hasMember, Pelé dos Santos]
Generated description
Pelé dos Santos is a fictional Brazilian musician and crew member of Team Zissou in Wes Anderson’s film "The Life Aquatic with Steve Zissou," known for performing David Bowie songs in Portuguese.

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_69f76df0cddc81908d16c1556ff4097f completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcc5d39d688190a1025d6295529bb7 completed May 7, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41b28e15788190acceb5d2635dc7a0 completed June 28, 2026, 11:47 p.m.
NEDg Description generation batch_6a41b2efbe18819084f47a57f2df2cd0 completed June 28, 2026, 11:49 p.m.
NED2 Entity disambiguation (via description) batch_6a41b354160881909a06fbeb7e583e15 completed June 28, 2026, 11:50 p.m.
Created at: May 3, 2026, 4:30 p.m.