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.