Triple
T37923742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neville |
E946034
|
entity |
| Predicate | isEmotionallyAttachedTo |
P23414
|
FINISHED |
| Object | Percival |
—
|
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: Percival | Statement: [Neville, isEmotionallyAttachedTo, Percival]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEmotionallyAttachedTo Context triple: [Neville, isEmotionallyAttachedTo, Percival]
-
A.
emotionallyAttachedTo
chosen
Indicates that one entity has a strong emotional bond, affection, or dependence directed toward another entity.
-
B.
emotionalRelationshipTo
Indicates an emotional connection or attitude that one entity feels toward another, such as affection, dislike, attachment, or other emotional states.
-
C.
objectOfAffectionFor
Indicates that one entity is the target or recipient of another entity’s romantic or affectionate feelings.
-
D.
emotionalFocusOf
Indicates that one entity is the primary target or center of another entity’s emotions or emotional attention.
-
E.
affectionReciprocated
Indicates that feelings of affection expressed by one entity toward another are mutually returned by the other 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_69f76ef3b7248190892fb9706423be7c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.