Triple
T26157686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George H. Eldridge |
E660010
|
entity |
| Predicate | benefitTypeInDispute |
P40419
|
FINISHED |
| Object | Social Security disability insurance benefits |
—
|
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: Social Security disability insurance benefits | Statement: [George H. Eldridge, benefitTypeInDispute, Social Security disability insurance benefits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: benefitTypeInDispute Context triple: [George H. Eldridge, benefitTypeInDispute, Social Security disability insurance benefits]
-
A.
hasDisputeType
chosen
Indicates that an entity is associated with a particular category or type of dispute.
-
B.
beneficeType
Indicates the specific category or kind of benefice (ecclesiastical office or endowed church position) associated with an entity.
-
C.
disputeIssue
Indicates that there is a disagreement or conflict specifically concerning a particular issue or point of contention.
-
D.
disputeInvolves
Indicates that a particular dispute includes or concerns the specified entities as participants or parties to the conflict.
-
E.
disputePolicy
Indicates that there is a formal disagreement or conflict regarding a policy, typically triggering procedures for review, negotiation, or resolution.
- 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_69ee5bc5a9908190899d39ce95c6d215 |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 26, 2026, 8:28 p.m.