Triple
T28687951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brice Hortefeux |
E729187
|
entity |
| Predicate | primaryFieldOfActivity |
P63305
|
FINISHED |
| Object | politics |
—
|
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: politics | Statement: [Brice Hortefeux, primaryFieldOfActivity, politics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryFieldOfActivity Context triple: [Brice Hortefeux, primaryFieldOfActivity, politics]
-
A.
primaryBusinessArea
Indicates the main field, sector, or domain in which an entity primarily conducts its business activities.
-
B.
holderFieldOfActivity
Indicates that one entity has a particular field of activity, profession, or domain in which it is active or engaged.
-
C.
placeOfBusinessActivity
Indicates the type or nature of business activity that is conducted at a particular place or location.
-
D.
primaryField
chosen
Indicates the main area of focus, discipline, or domain most centrally associated with an entity.
-
E.
primaryTrade
Indicates that the referenced activity or exchange is the main or most significant trade relationship associated with the entities involved.
- F. None of above.
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_69f043e60b6c8190ac2cd042e77fe6e9 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_6a0067cde0f08190b2cd93af5f00d519 |
completed | May 10, 2026, 11:11 a.m. |
| PD | Predicate disambiguation | batch_6a0065820c8c8190994734433c64a30a |
completed | May 10, 2026, 11:01 a.m. |
Created at: April 28, 2026, 5:34 a.m.