Triple
T32758601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lexi Branson |
E837693
|
entity |
| Predicate | turningEvent |
P676
|
FINISHED |
| Object | turned into a vampire centuries before the series events |
—
|
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: turned into a vampire centuries before the series events | Statement: [Lexi Branson, turningEvent, turned into a vampire centuries before the series events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turningEvent Context triple: [Lexi Branson, turningEvent, turned into a vampire centuries before the series events]
-
A.
turningCircle
Indicates the radius or size of the circular path an object follows when it turns, typically reflecting how tightly it can change direction.
-
B.
turns
Indicates a change in orientation, direction, or state initiated by one entity affecting itself or another entity.
-
C.
turningPointIn
chosen
Indicates that an event or situation serves as a decisive change or pivotal moment within a larger process, narrative, or development.
-
D.
turnsIn
Indicates that an entity submits or hands over something, typically work or an item, to another party or authority.
-
E.
turnout
Indicates the number or proportion of participants who attend or take part in an event or activity.
- 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_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:13 a.m.