Triple
T5285644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | François Séverin Marceau |
E119611
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Marceau |
E119611
|
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: Marceau | Statement: [François Séverin Marceau, familyName, Marceau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marceau Context triple: [François Séverin Marceau, familyName, Marceau]
-
A.
François Séverin Marceau
chosen
François Séverin Marceau was a prominent young French Revolutionary general renowned for his military skill and bravery during the War of the First Coalition.
-
B.
Gérard
Gérard is a French given name, equivalent to the Germanic name Gerhard, commonly used in French-speaking countries.
-
C.
Louiguy
Louiguy was a French composer best known for co-writing the iconic chanson "La Vie en rose," popularized by Édith Piaf.
-
D.
Jean-Pierre
Jean-Pierre is a French given name commonly used as a masculine compound first name.
-
E.
Sacha Pitoëff
Sacha Pitoëff was a French actor and theatre director known for his distinctive, often enigmatic screen presence in mid-20th-century European cinema.
- 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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84d7de908190820c31fe6eb98dac |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06e98e48819091c666cf7872a7f8 |
completed | March 21, 2026, 9 p.m. |
Created at: March 20, 2026, 1:52 p.m.