Triple
T9486645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frédéric Schlumberger |
E228778
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Frédéric |
E513103
|
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: Frédéric | Statement: [Frédéric Schlumberger, hasGivenName, Frédéric]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frédéric Context triple: [Frédéric Schlumberger, hasGivenName, Frédéric]
-
A.
Frederic
chosen
Frederic is the dutiful young apprentice-turned-pirate protagonist of Gilbert and Sullivan’s comic opera "The Pirates of Penzance."
-
B.
Frederic
Frederic is the given name of Frederic Edwin Church, a prominent 19th-century American landscape painter associated with the Hudson River School.
-
C.
Gustave
Gustave is a masculine given name of French origin, famously borne by engineer Gustave Eiffel.
-
D.
Pierre
Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
-
E.
Jean-Philippe
Jean-Philippe is a French masculine given name most famously borne by the Baroque composer Jean-Philippe Rameau.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd8051303881909566126a2688e41c |
completed | April 1, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d1326b8819084c6d9490b7a96dc |
completed | April 4, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:55 p.m.