Triple
T12773634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Lammeter |
E305311
|
entity |
| Predicate | laterAttitudeTowardGodfrey |
P106832
|
FINISHED |
| Object | more compassionate |
—
|
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: more compassionate | Statement: [Nancy Lammeter, laterAttitudeTowardGodfrey, more compassionate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterAttitudeTowardGodfrey Context triple: [Nancy Lammeter, laterAttitudeTowardGodfrey, more compassionate]
-
A.
attitudeToRa’y
Indicates the nature or stance of one entity’s attitude, opinion, or feeling toward Ra’y.
-
B.
stanceTowardRome
Indicates the nature or attitude of an entity’s position or policy in relation to Rome.
-
C.
showsAttitudeTowardChivalry
Indicates that an entity expresses or demonstrates a particular stance, feeling, or evaluation regarding chivalry.
-
D.
laterRevertedReligion
Indicates that an entity adopted a religion and then subsequently reverted or returned to a previous or different religious affiliation.
-
E.
associatedWithGod
Indicates a relationship in which an entity is linked, related, or connected in some meaningful way to a god or deity.
- F. None of above. chosen
Provenance (4 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df5b68481908a5d40516b09be52 |
completed | April 10, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:28 p.m.