Triple

T31530700
Position Surface form Disambiguated ID Type / Status
Subject Marie-Octobre E804469 entity
Predicate characterPlayedBy_Bernard Blier P9616 FINISHED
Object Julien Lancel
Julien Lancel is a fictional character from the French film "Marie-Octobre," portrayed by actor Bernard Blier.
E2185435 NE FINISHED

How this triple was built (3 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: Julien Lancel | Statement: [Marie-Octobre, characterPlayedBy_Bernard Blier, Julien Lancel]
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: Julien Lancel
Triple: [Marie-Octobre, characterPlayedBy_Bernard Blier, Julien Lancel]
Generated description
Julien Lancel is a fictional character from the French film "Marie-Octobre," portrayed by actor Bernard Blier.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: characterPlayedBy_Bernard Blier
Context triple: [Marie-Octobre, characterPlayedBy_Bernard Blier, Julien Lancel]
  • A. characterPlayedBy_Ed Lauter
    Indicates that a given character is portrayed or acted by Ed Lauter.
  • B. playedBy chosen
    Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
  • C. characterPlayedByRichardHarris
    Indicates that the subject is a character that was portrayed by the actor Richard Harris.
  • D. characterPlayedBy Charles Laughton
    Indicates that a given character is portrayed or acted by Charles Laughton.
  • E. characterPlayedBy Bob Monkhouse
    Indicates that a character is portrayed or acted by Bob Monkhouse.
  • F. None of above.

Provenance (6 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_69f348d03ef88190a2b73d7b94b9e02d completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fe7bfc94bc81909eeec946e8c1c450 completed May 9, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a39cfa9ea4081908c251acca0042a80 completed June 23, 2026, 12:13 a.m.
NEDg Description generation batch_6a39d055f0bc819088d0b67d146883ff completed June 23, 2026, 12:16 a.m.
NED2 Entity disambiguation (via description) batch_6a39d20d407881908cec6419bc9d7017 completed June 23, 2026, 12:23 a.m.
PD Predicate disambiguation batch_69fe7b74a1188190886f128e07f712da completed May 9, 2026, 12:10 a.m.
Created at: April 30, 2026, 10:01 p.m.