Triple
T11722561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanni McCandless |
E278672
|
entity |
| Predicate | focusOfCoaching |
P31647
|
FINISHED |
| Object | overcoming fear and self-doubt |
—
|
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: overcoming fear and self-doubt | Statement: [Sanni McCandless, focusOfCoaching, overcoming fear and self-doubt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusOfCoaching Context triple: [Sanni McCandless, focusOfCoaching, overcoming fear and self-doubt]
-
A.
leadershipFocus
Indicates a relationship where an entity’s attention, priorities, or strategic efforts are directed toward leading, guiding, or influencing others.
-
B.
outcomeFocus
Indicates that the primary emphasis or attention is placed on the results or consequences of an action or process.
-
C.
focusOf
Indicates that one entity is the primary subject, target, or center of attention, activity, or interest for another entity.
-
D.
focusesOn
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
E.
focusType
chosen
Indicates the specific kind or category of focus or attention that is being applied to or associated with an entity or interaction.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c373088190bc2ae77a1696d280 |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7f51248190bf492bd7509b5413 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.