Triple
T5048453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret McGrath Rockefeller |
E113724
|
entity |
| Predicate | cause supported |
P10437
|
FINISHED |
| Object | environmental protection |
—
|
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: environmental protection | Statement: [Margaret McGrath Rockefeller, cause supported, environmental protection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cause supported Context triple: [Margaret McGrath Rockefeller, cause supported, environmental protection]
-
A.
causeSupported
chosen
Indicates that an entity provides backing, endorsement, or assistance to a particular cause or initiative.
-
B.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
C.
fallCause
Indicates that one event or condition causes or brings about another event of falling or decline.
-
D.
hasCause
Indicates that one entity is the reason for, or brings about, the occurrence or existence of another entity or event.
-
E.
support
Indicates that one entity provides assistance, endorsement, or backing to another entity or its actions.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7401419081909ba62b9c27f770c4 |
completed | March 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69bd715479f08190933604aebd34414f |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.