Triple
T26616683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audrey Dunn |
E668079
|
entity |
| Predicate | emotionallyDistantFrom |
P56200
|
FINISHED |
| Object | David Dunn |
—
|
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: David Dunn | Statement: [Audrey Dunn, emotionallyDistantFrom, David Dunn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emotionallyDistantFrom Context triple: [Audrey Dunn, emotionallyDistantFrom, David Dunn]
-
A.
emotionallyAttachedTo
Indicates that one entity has a strong emotional bond, affection, or dependence directed toward another entity.
-
B.
distancedFrom
chosen
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
C.
awayFrom
Indicates that one entity is located at a distance from, or moving farther away from, another entity.
-
D.
isDistant
Indicates that one entity is far away or separated by a large distance from another entity.
-
E.
emotionalFocusOf
Indicates that one entity is the primary target or center of another entity’s emotions or emotional attention.
- 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_69ee9cfe16088190a3dddd68e3c7b1ea |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f615acd3888190959a506353263558 |
completed | May 2, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 2:19 a.m.