Triple
T395369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Random House |
E8970
|
entity |
| Predicate | notableAuthorPublished |
P7039
|
FINISHED |
| Object |
E. L. James
E. L. James is a British author best known for writing the bestselling erotic romance trilogy "Fifty Shades of Grey."
|
E49814
|
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: E. L. James | Statement: [Random House, notableAuthorPublished, E. L. James]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E. L. James Context triple: [Random House, notableAuthorPublished, E. L. James]
-
A.
Valeria Wasserman
Valeria Wasserman is a Brazilian linguist and translator best known as the wife of renowned intellectual Noam Chomsky.
-
B.
Charlotte Pécoul
Charlotte Pécoul was the wife of renowned French Neoclassical painter Jacques-Louis David and a member of a well-connected Parisian bourgeois family.
-
C.
Jessica Barth
Jessica Barth is an American actress best known for playing Tami-Lynn in the comedy films "Ted" and "Ted 2."
-
D.
Jayne Appel
Jayne Appel is a former American basketball center best known for her standout collegiate career at Stanford University and subsequent play in the WNBA.
-
E.
C. E. Webber
C. E. Webber was a British television writer and script editor credited with helping develop the original concept and format of the long-running science fiction series Doctor Who.
- 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: E. L. James Triple: [Random House, notableAuthorPublished, E. L. James]
Generated description
E. L. James is a British author best known for writing the bestselling erotic romance trilogy "Fifty Shades of Grey."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: E. L. James Target entity description: E. L. James is a British author best known for writing the bestselling erotic romance trilogy "Fifty Shades of Grey."
-
A.
Valeria Wasserman
Valeria Wasserman is a Brazilian linguist and translator best known as the wife of renowned intellectual Noam Chomsky.
-
B.
Charlotte Pécoul
Charlotte Pécoul was the wife of renowned French Neoclassical painter Jacques-Louis David and a member of a well-connected Parisian bourgeois family.
-
C.
Jessica Barth
Jessica Barth is an American actress best known for playing Tami-Lynn in the comedy films "Ted" and "Ted 2."
-
D.
Jayne Appel
Jayne Appel is a former American basketball center best known for her standout collegiate career at Stanford University and subsequent play in the WNBA.
-
E.
C. E. Webber
C. E. Webber was a British television writer and script editor credited with helping develop the original concept and format of the long-running science fiction series Doctor Who.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec792dd081909b6b18a854139f8c |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a405fa43448190b3e78d83e791b105 |
completed | March 1, 2026, 9:25 a.m. |
| NEDg | Description generation | batch_69a4070f76308190bd898dcdb27f3277 |
completed | March 1, 2026, 9:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a40794523081908839f90446beba83 |
completed | March 1, 2026, 9:32 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.