Triple
T34860171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Simson |
E1004844
|
entity |
| Predicate | feelsGratitudeToward |
P79691
|
FINISHED |
| Object | John Oakhurst |
—
|
NE NERFINISHED |
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: John Oakhurst | Statement: [Tom Simson, feelsGratitudeToward, John Oakhurst]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feelsGratitudeToward Context triple: [Tom Simson, feelsGratitudeToward, John Oakhurst]
-
A.
thanks
chosen
Indicates that one entity expresses gratitude or appreciation to another for an action, service, or favor.
-
B.
viewOnGratitude
Indicates a stance, opinion, or perspective that someone holds regarding the concept or practice of gratitude.
-
C.
affectionReciprocated
Indicates that feelings of affection expressed by one entity toward another are mutually returned by the other entity.
-
D.
praisedEntity
Indicates that one entity expresses approval, admiration, or commendation toward another entity.
-
E.
feltIn
Indicates that a sensation, emotion, or effect is experienced within a particular location, context, or entity.
- 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_69f76dbb678081909a247b9b5e1a73ac |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.