Triple
T2534021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie de France |
E56226
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Fables
Fables is a collection of medieval verse tales by Marie de France that adapt and moralize traditional animal stories and folktales.
|
E274565
|
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: Fables | Statement: [Marie de France, notableWork, Fables]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fables Context triple: [Marie de France, notableWork, Fables]
-
A.
Fables
Fables is a collection of satirical verse tales by John Gay that use animal characters and moral lessons to comment on human nature and society.
-
B.
Faun Fables
Faun Fables is an experimental folk music project known for its theatrical, mythic storytelling and eclectic blend of traditional and avant-garde influences.
-
C.
Fabela
Fabela is the maiden surname of Helen Fabela Chávez, a Mexican-American labor leader and wife of civil rights activist César Chávez.
-
D.
Fairy Tales
Fairy Tales is a whimsical collection of humorous and subversive short stories for children written by Monty Python member Terry Jones.
-
E.
A Fable
A Fable is a complex, allegorical novel by William Faulkner that reimagines World War I through a moral and religious lens, exploring themes of sacrifice, authority, and rebellion.
- 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: Fables Triple: [Marie de France, notableWork, Fables]
Generated description
Fables is a collection of medieval verse tales by Marie de France that adapt and moralize traditional animal stories and folktales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fables Target entity description: Fables is a collection of medieval verse tales by Marie de France that adapt and moralize traditional animal stories and folktales.
-
A.
Fables
Fables is a collection of satirical verse tales by John Gay that use animal characters and moral lessons to comment on human nature and society.
-
B.
Faun Fables
Faun Fables is an experimental folk music project known for its theatrical, mythic storytelling and eclectic blend of traditional and avant-garde influences.
-
C.
Fabela
Fabela is the maiden surname of Helen Fabela Chávez, a Mexican-American labor leader and wife of civil rights activist César Chávez.
-
D.
Fairy Tales
Fairy Tales is a whimsical collection of humorous and subversive short stories for children written by Monty Python member Terry Jones.
-
E.
A Fable
A Fable is a complex, allegorical novel by William Faulkner that reimagines World War I through a moral and religious lens, exploring themes of sacrifice, authority, and rebellion.
- 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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd27afe7c8190984e10d3f3d5586b |
completed | March 7, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2bbc416c81908774782420b54664 |
completed | March 9, 2026, 8:21 p.m. |
| NEDg | Description generation | batch_69af4c5e49dc8190920612a8b0f5b3f7 |
completed | March 9, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af4cd3bcc8819091589f0aa27ddc5d |
completed | March 9, 2026, 10:42 p.m. |
Created at: March 6, 2026, 9:47 p.m.