Triple
T12619254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurent Blanc |
E301335
|
entity |
| Predicate | tookOfficeAsFranceManager |
P105936
|
FINISHED |
| Object | 2010 |
—
|
LITERAL 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: 2010 | Statement: [Laurent Blanc, tookOfficeAsFranceManager, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookOfficeAsFranceManager Context triple: [Laurent Blanc, tookOfficeAsFranceManager, 2010]
-
A.
heldOfficeOfPresidentOfFrance
Indicates that a person has served as the President of France in an official capacity.
-
B.
reignAsKingOfFranceStart
Indicates the time point or event at which an individual begins their tenure as the reigning king of France.
-
C.
startTimeAsUSMinisterToFrance
Indicates the date and time when an individual began serving in the role of United States Minister to France.
-
D.
reignAsKingOfFranceEnd
Indicates the time or event at which an individual's reign as King of France comes to an end.
-
E.
principalFrenchRepresentative
Indicates that one entity serves as the primary official representative of France in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b195108190ac25bd95e644ace4 |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d96179c7648190a05a13991d62bebb |
completed | April 10, 2026, 8:45 p.m. |
Created at: April 9, 2026, 5:13 p.m.