Triple
T18578597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greeks Bearing Gifts |
E454047
|
entity |
| Predicate | centersOnEvent |
P60032
|
FINISHED |
| Object | Toshiko Sato gaining telepathic abilities |
—
|
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: Toshiko Sato gaining telepathic abilities | Statement: [Greeks Bearing Gifts, centersOnEvent, Toshiko Sato gaining telepathic abilities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centersOnEvent Context triple: [Greeks Bearing Gifts, centersOnEvent, Toshiko Sato gaining telepathic abilities]
-
A.
focusesOn
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
B.
previouslyCenteredOn
Indicates that something was formerly the main focus, reference point, or central subject of another thing, but is no longer in that central position.
-
C.
anchorEvent
Indicates that one event serves as a fixed reference point in time or context for another event or set of events.
-
D.
eventFocus
chosen
Indicates that a particular event is the primary subject of attention, analysis, or relevance within a given context or dataset.
-
E.
sceneCenter
Indicates that one entity serves as the central or focal point of a scene in relation to 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543cd6a3c8190b38059e71ec3f7b2 |
completed | April 19, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69e478c98d4c81909d37a0e72c6e7bd0 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:43 a.m.