Triple
T15343208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julian May |
E366848
|
entity |
| Predicate | usedPseudonym |
P3799
|
FINISHED |
| Object |
Lee N. Falconer
Lee N. Falconer is a pseudonym used by American science fiction and fantasy author Julian May for some of her published works.
|
E1246561
|
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: Lee N. Falconer | Statement: [Julian May, usedPseudonym, Lee N. Falconer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee N. Falconer Context triple: [Julian May, usedPseudonym, Lee N. Falconer]
-
A.
Kent L. Wakeford
Kent L. Wakeford was an American cinematographer known for his work on influential 1970s films, particularly in collaboration with director Martin Scorsese.
-
B.
Robert N. Fitch
Robert N. Fitch was a composer best known for writing the University of California fight song "Fight for California."
-
C.
Jay R. Ferguson
Jay R. Ferguson is an American actor best known for his television roles in series such as "Evening Shade," "Mad Men," and "The Conners."
-
D.
R. Douglas Wright
R. Douglas Wright is a distinguished American trombonist and educator known for his prominent orchestral and conservatory teaching roles.
-
E.
Douglas J. Foskett
Douglas J. Foskett was a British librarian and information scientist known for his influential work in library classification and information retrieval.
- 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: Lee N. Falconer Triple: [Julian May, usedPseudonym, Lee N. Falconer]
Generated description
Lee N. Falconer is a pseudonym used by American science fiction and fantasy author Julian May for some of her published works.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lee N. Falconer Target entity description: Lee N. Falconer is a pseudonym used by American science fiction and fantasy author Julian May for some of her published works.
-
A.
Kent L. Wakeford
Kent L. Wakeford was an American cinematographer known for his work on influential 1970s films, particularly in collaboration with director Martin Scorsese.
-
B.
Robert N. Fitch
Robert N. Fitch was a composer best known for writing the University of California fight song "Fight for California."
-
C.
Jay R. Ferguson
Jay R. Ferguson is an American actor best known for his television roles in series such as "Evening Shade," "Mad Men," and "The Conners."
-
D.
R. Douglas Wright
R. Douglas Wright is a distinguished American trombonist and educator known for his prominent orchestral and conservatory teaching roles.
-
E.
Douglas J. Foskett
Douglas J. Foskett was a British librarian and information scientist known for his influential work in library classification and information retrieval.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e14d8088190876fceca75d12322 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b2fc8f88190b9bd2887149e3d68 |
completed | May 10, 2026, 11:56 p.m. |
| NEDg | Description generation | batch_6a011be1347481908ab05b4b30ab8243 |
completed | May 10, 2026, 11:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a011d144fd481908aac53f3ce4c62a7 |
completed | May 11, 2026, 12:04 a.m. |
Created at: April 10, 2026, 3:17 a.m.