Triple
T17331942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbarella |
E420836
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Victoria Mercanton
Victoria Mercanton was a French film editor best known for her work on influential European films of the 1960s, including the cult science-fiction film "Barbarella."
|
E1264644
|
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: Victoria Mercanton | Statement: [Barbarella, editedBy, Victoria Mercanton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Victoria Mercanton Context triple: [Barbarella, editedBy, Victoria Mercanton]
-
A.
Victoria Prentis
Victoria Prentis is a British Conservative Party politician and government minister who has served as the Member of Parliament for Banbury since 2015.
-
B.
Victoria Ward
Victoria Ward was a British actress best known for her stage and screen work and for her long marriage to actor Alan Bates.
-
C.
Victoria Holbrook
Victoria Holbrook is a scholar and translator best known for her influential work on Turkish literature and literary theory.
-
D.
Victoria Forde
Victoria Forde was a silent film actress best known for her work in early 20th-century American comedies.
-
E.
Alyla Browne
Alyla Browne is an Australian actress best known for her role in the action film "Furiosa: A Mad Max Saga."
- 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: Victoria Mercanton Triple: [Barbarella, editedBy, Victoria Mercanton]
Generated description
Victoria Mercanton was a French film editor best known for her work on influential European films of the 1960s, including the cult science-fiction film "Barbarella."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Victoria Mercanton Target entity description: Victoria Mercanton was a French film editor best known for her work on influential European films of the 1960s, including the cult science-fiction film "Barbarella."
-
A.
Victoria Prentis
Victoria Prentis is a British Conservative Party politician and government minister who has served as the Member of Parliament for Banbury since 2015.
-
B.
Victoria Ward
Victoria Ward was a British actress best known for her stage and screen work and for her long marriage to actor Alan Bates.
-
C.
Victoria Holbrook
Victoria Holbrook is a scholar and translator best known for her influential work on Turkish literature and literary theory.
-
D.
Victoria Forde
Victoria Forde was a silent film actress best known for her work in early 20th-century American comedies.
-
E.
Alyla Browne
Alyla Browne is an Australian actress best known for her role in the action film "Furiosa: A Mad Max Saga."
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d6870c8190989897aa6beba8ff |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019550d3bc8190bda76e83edc81063 |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a019b79d7148190abf4b41f0c84c62e |
completed | May 11, 2026, 9:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a019c1b60f08190a6469602751e3471 |
completed | May 11, 2026, 9:06 a.m. |
Created at: April 10, 2026, 5:43 a.m.