Triple
T15887898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Giles |
E385236
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Saint Gilles |
E385236
|
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: Saint Gilles | Statement: [Saint Giles, hasName, Saint Gilles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint Gilles Context triple: [Saint Giles, hasName, Saint Gilles]
-
A.
Saint Gilles
chosen
Saint Gilles is the French name for Saint Giles, a popular medieval Christian saint venerated as the patron of the disabled, beggars, and outcasts.
-
B.
Jean Puy
Jean Puy was a French Fauvist painter known for his vibrant use of color and participation in early 20th-century avant-garde exhibitions.
-
C.
Saint Ferréol
Saint Ferréol is a Christian saint after whom various places and landmarks, such as Lac de Saint-Ferréol in France, are named.
-
D.
Saint Rémi
Saint Rémi is a 5th–6th century bishop of Reims best known for baptizing Clovis I, a pivotal event in the Christianization of the Frankish kingdom.
-
E.
Saint-Michel
Saint-Michel is a Montreal Metro station that serves as the eastern terminus of the Blue Line in Montreal, Quebec, Canada.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1561c3d008190a892f091a2f874cf |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa95791a48190abc79a6906672098 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.