Triple
T27219138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Hunter |
E681220
|
entity |
| Predicate | focalPointFor |
P106966
|
FINISHED |
| Object | major Crossroads plotlines |
—
|
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: major Crossroads plotlines | Statement: [David Hunter, focalPointFor, major Crossroads plotlines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focalPointFor Context triple: [David Hunter, focalPointFor, major Crossroads plotlines]
-
A.
hasFocalPoint
Indicates that something possesses a central point of focus or primary area of attention within its structure, composition, or activity.
-
B.
formsFocalPointOf
chosen
Indicates that something serves as the central or primary point of attention, interest, or activity within a given context or arrangement.
-
C.
hasNoConventionalFocalPoint
Indicates that something lacks a single, traditional center of attention or primary point that visually or conceptually draws focus.
-
D.
focusPosition
Indicates the spatial or logical position at which attention, concentration, or processing is currently directed within a given context.
-
E.
focusOf
Indicates that one entity is the primary subject, target, or center of attention, activity, or interest for another 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_69eefac9f64c8190a07490fe0c8b72a3 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6261f30388190bd1643b2a61d2c5e |
completed | May 2, 2026, 4:28 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 9:42 a.m.