Triple
T15468808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julien Dubuque |
E372100
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Julien |
E183782
|
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: Julien | Statement: [Julien Dubuque, givenName, Julien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julien Context triple: [Julien Dubuque, givenName, Julien]
-
A.
Julien
chosen
Julien is a given name of French origin commonly used for males in various Francophone and European countries.
-
B.
Étienne
Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
-
C.
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.
-
D.
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.
-
E.
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.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f69a31c81909a749247b6615d91 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3657972481909219bc040f674c02 |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:33 a.m.