Triple
T7691520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael D. Higgins |
E174256
|
entity |
| Predicate | hasGivenPublicService |
P48922
|
FINISHED |
| Object | human rights advocacy |
—
|
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: human rights advocacy | Statement: [Michael D. Higgins, hasGivenPublicService, human rights advocacy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenPublicService Context triple: [Michael D. Higgins, hasGivenPublicService, human rights advocacy]
-
A.
hasPublicServiceMission
Indicates that an entity is obligated or committed to provide services that serve the public interest or fulfill a public-benefit mandate.
-
B.
hasCommunityService
Indicates that an entity is associated with, participates in, or is subject to community service activities or obligations.
-
C.
hasCommunityServed
Indicates that an entity provides services or benefits to, or is intended to support, a particular community or group of people.
-
D.
hasCivicFunction
Indicates that an entity performs, is responsible for, or is associated with an official public or civic role, duty, or service.
-
E.
volunteeredFor
chosen
Indicates that an entity willingly offered their time or services to support or participate in an activity, cause, or organization.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c706d1f0208190bc5b695aa5736244 |
completed | March 27, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69c70163dea88190ae729df50e63dfd7 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:02 p.m.