Triple
T8906046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xavier Gilot |
E212059
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gilot |
E212059
|
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: Gilot | Statement: [Xavier Gilot, familyName, Gilot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilot Context triple: [Xavier Gilot, familyName, Gilot]
-
A.
Gilot
chosen
Gilot is a French surname most notably borne by Françoise Gilot, the painter and writer known for her long relationship with Pablo Picasso.
-
B.
Galich
Galich is a historic Russian town in Kostroma Oblast known for its medieval origins and its location on the shores of Lake Galichskoye.
-
C.
Girod
Girod is a French surname and place name that appears as a variant of the name Giraud.
-
D.
Girolata
Girolata is a remote, picturesque coastal village in western Corsica, France, known for its scenic bay and access only by boat or footpath.
-
E.
Gardo
Gardo is one of the three impoverished boys who uncover a dangerous secret while scavenging through a landfill in Andy Mulligan’s novel "Trash."
- 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_69ca839255248190b43984294abd92ae |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc64c3d83081909f181bfd601eaf99 |
completed | April 1, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc92e668c819086e694f92c04add6 |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:55 p.m.