Triple
T29988606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connor family (philanthropic donors) |
E761799
|
entity |
| Predicate | contributionScale |
P46165
|
FINISHED |
| Object | significant |
—
|
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: significant | Statement: [Connor family (philanthropic donors), contributionScale, significant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contributionScale Context triple: [Connor family (philanthropic donors), contributionScale, significant]
-
A.
contributionBase
Indicates the foundational amount, value, or resource on which a contribution, payment, or benefit is calculated or determined.
-
B.
contributionBased
Indicates that something is determined, allocated, or structured according to the level or amount of contributions made by the involved entities.
-
C.
associatedScale
chosen
Indicates that one entity is linked or connected to a particular scale used to measure, classify, or evaluate it.
-
D.
peakContribution
Indicates the maximum level or amount that an entity contributes to another entity, process, or outcome within a given context.
-
E.
relatedScale
Indicates that two entities are connected through a common or comparable scale, measurement, or gradation system.
- 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_69f2246851148190b8e76206db94b105 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: April 29, 2026, 6:37 p.m.