Triple
T18263886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Foster |
E437432
|
entity |
| Predicate | attitudeTowardLeninaCrowne |
P131087
|
FINISHED |
| Object | possessive |
—
|
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: possessive | Statement: [Henry Foster, attitudeTowardLeninaCrowne, possessive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attitudeTowardLeninaCrowne Context triple: [Henry Foster, attitudeTowardLeninaCrowne, possessive]
-
A.
attitudeTowardHumanNature
Indicates an entity’s evaluative stance or belief about the fundamental characteristics and tendencies of human nature.
-
B.
attitudeTowardLove
Indicates an entity’s feelings, beliefs, or stance regarding the concept or experience of love.
-
C.
cultAttitude
Indicates the stance, beliefs, or disposition that a cult or cult-like group holds toward a particular entity, idea, or practice.
-
D.
showsAttitudeTowardChivalry
Indicates that an entity expresses or demonstrates a particular stance, feeling, or evaluation regarding chivalry.
-
E.
laterAttitudeTowardWaldenTwo
Indicates a subject’s attitude toward Walden Two at a later point in time, relative to some earlier reference attitude.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff78b188819081da8e1d389c6c79 |
completed | April 19, 2026, 4:14 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:34 a.m.