Triple
T4946275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man Group |
E111057
|
entity |
| Predicate | hasCorporatePhilanthropyFocus |
P9241
|
FINISHED |
| Object | arts |
—
|
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: arts | Statement: [Man Group, hasCorporatePhilanthropyFocus, arts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCorporatePhilanthropyFocus Context triple: [Man Group, hasCorporatePhilanthropyFocus, arts]
-
A.
hasCharitableFoundation
Indicates that an entity maintains or is associated with a charitable foundation, typically for philanthropic or nonprofit activities.
-
B.
hasPhilanthropicRole
Indicates that an entity holds or performs a role related to charitable, philanthropic, or socially beneficial activities.
-
C.
isPhilanthropic
Indicates that an entity habitually engages in generous actions or donations intended to promote the welfare of others.
-
D.
fieldOfPhilanthropy
chosen
Indicates that an entity is engaged in or associated with a particular area or domain of philanthropic activity.
-
E.
hasCharitableFunction
Indicates that an entity performs or is designated to perform activities intended for charitable purposes or public benefit.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70aa890c81908e685ec5e88cae1f |
completed | March 20, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.