Triple
T28549065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tara |
E722828
|
entity |
| Predicate | primaryQuality |
P148846
|
FINISHED |
| Object | compassion |
—
|
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: compassion | Statement: [Tara, primaryQuality, compassion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryQuality Context triple: [Tara, primaryQuality, compassion]
-
A.
primaryType
Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
-
B.
primaryCriterion
Indicates that one factor is designated as the main or most important basis for a decision, judgment, or selection among alternatives.
-
C.
primarySignificance
Indicates that something has the greatest importance, relevance, or impact among a set of related things or factors.
-
D.
primaryFor
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
-
E.
primaryAspect
chosen
Indicates that one aspect is the main, most defining, or most emphasized characteristic or component of another entity or concept.
- 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_6a005247dba08190acadf962bcefe4a0 |
completed | May 10, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_6a00519029848190a234358dfba45084 |
completed | May 10, 2026, 9:36 a.m. |
Created at: April 28, 2026, 3:41 a.m.