Triple
T14648371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jules Vallès |
E343913
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jules |
E153007
|
NE FINISHED |
How this triple was built (2 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: Jules | Statement: [Jules Vallès, givenName, Jules]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jules Context triple: [Jules Vallès, givenName, Jules]
-
A.
Jules
chosen
Jules is a given name most famously associated with French poet Jules Laforgue, a key figure in Symbolist and early modernist literature.
-
B.
Jules
Jules is a central, free-spirited yet troubled young woman in the 1985 coming-of-age film "St. Elmo's Fire," known for her glamorous lifestyle and emotional struggles.
-
C.
Jules
Jules is a character in the musical "Sunday in the Park with George," serving as a foil to the artist George and representing the conventional art world's values and commercial success.
-
D.
Jules
Jules is one of the central protagonists in François Truffaut’s classic French New Wave film "Jules and Jim," known for his complex, decades-spanning love triangle with Jim and Catherine.
-
E.
Jules
Jules is a supporting character in the romantic comedy film "Chalet Girl," involved in the story’s ski-resort setting and social drama.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ed037c8190a87bf43f839fec05 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24a4ceb081908535585175832534 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:26 a.m.