Triple
T33139343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Ross |
E848096
|
entity |
| Predicate | drawnBackInto |
P71296
|
FINISHED |
| Object | world of espionage |
—
|
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: world of espionage | Statement: [Sarah Ross, drawnBackInto, world of espionage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drawnBackInto Context triple: [Sarah Ross, drawnBackInto, world of espionage]
-
A.
reluctantlyDrawnInto
chosen
Indicates being unwillingly but irresistibly involved in a situation, activity, or relationship despite initial resistance or hesitation.
-
B.
drawnTo
Indicates that one entity is attracted or pulled toward another entity, whether physically, emotionally, or conceptually.
-
C.
drawnUnder
Indicates that one entity is depicted or represented as being beneath another entity in a drawing or visual representation.
-
D.
draws
Indicates that one entity creates a visual representation or image of another entity.
-
E.
broughtBack
Indicates that an entity caused another entity to return to a previous place, state, or condition.
- 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_69f3495961d88190b16ea542c2c5f825 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:27 a.m.