Triple
T7658518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelly Grayson |
E173444
|
entity |
| Predicate | storyArcElement |
P36856
|
FINISHED |
| Object | rebuilding trust with Ed Mercer |
—
|
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: rebuilding trust with Ed Mercer | Statement: [Kelly Grayson, storyArcElement, rebuilding trust with Ed Mercer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storyArcElement Context triple: [Kelly Grayson, storyArcElement, rebuilding trust with Ed Mercer]
-
A.
storyElement
Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
-
B.
notableStoryArc
Indicates that there exists a significant or prominent narrative storyline or plot development involving the subject.
-
C.
characterArcElement
chosen
Indicates that one element is a component or stage within a character’s overall developmental arc or transformation.
-
D.
storyline
Indicates that one entity serves as the narrative plot or sequence of events associated with another entity.
-
E.
narrativeSequence
Indicates that one event or narrative element follows another in a temporal or logical storytelling order.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7061cbc3c8190a917dd7e71214182 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015dd8fc8190bc5f52a12bd46209 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 3:59 p.m.