Triple
T14847075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Losey |
E349125
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Eva
Eva is a 1962 psychological drama film directed by Joseph Losey, known for its intense character study and atmospheric European setting.
|
E1123993
|
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: Eva | Statement: [Joseph Losey, notableWork, Eva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eva Context triple: [Joseph Losey, notableWork, Eva]
-
A.
Eva
Eva is a feminine given name of Hebrew origin, equivalent to "Eve" and widely used in many languages and cultures.
-
B.
Evelyn
Evelyn is a 2002 Irish drama film directed by Bruce Beresford, based on a true story about a father's legal battle to regain custody of his children.
-
C.
Evelyn
Evelyn is a given name shared by G. Evelyn Hutchinson, a prominent 20th-century British-born American ecologist often called the "father of modern ecology."
-
D.
Evelyn
Evelyn is a fictional character from the film "Café Society," a romantic drama set in 1930s Hollywood and New York directed by Woody Allen.
-
E.
Evelyn
Evelyn, known formally as Lady Byng of Vimy, was a prominent British-born viceregal consort of Canada and namesake of the NHL’s Lady Byng Memorial Trophy.
- 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: Eva Triple: [Joseph Losey, notableWork, Eva]
Generated description
Eva is a 1962 psychological drama film directed by Joseph Losey, known for its intense character study and atmospheric European setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eva Target entity description: Eva is a 1962 psychological drama film directed by Joseph Losey, known for its intense character study and atmospheric European setting.
-
A.
Eva
Eva is a feminine given name of Hebrew origin, equivalent to "Eve" and widely used in many languages and cultures.
-
B.
Evelyn
Evelyn is a 2002 Irish drama film directed by Bruce Beresford, based on a true story about a father's legal battle to regain custody of his children.
-
C.
Evelyn
Evelyn is a given name shared by G. Evelyn Hutchinson, a prominent 20th-century British-born American ecologist often called the "father of modern ecology."
-
D.
Evelyn
Evelyn is a fictional character from the film "Café Society," a romantic drama set in 1930s Hollywood and New York directed by Woody Allen.
-
E.
Evelyn
Evelyn, known formally as Lady Byng of Vimy, was a prominent British-born viceregal consort of Canada and namesake of the NHL’s Lady Byng Memorial Trophy.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded29236dc8190b7d3a37d09f9fb21 |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe65010190819083ec051eb5d82839 |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe66bae148819080b3d6d3526a0dbb |
completed | May 8, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6736ff34819098524e4401a414aa |
completed | May 8, 2026, 10:44 p.m. |
Created at: April 10, 2026, 1:53 a.m.