Triple
T36413286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ginny Weasley (possessed by Tom Riddle) |
E896938
|
entity |
| Predicate | unknowinglyServes |
P185466
|
FINISHED |
| Object | Tom Riddle |
—
|
NE NERFINISHED |
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: Tom Riddle | Statement: [Ginny Weasley (possessed by Tom Riddle), unknowinglyServes, Tom Riddle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unknowinglyServes Context triple: [Ginny Weasley (possessed by Tom Riddle), unknowinglyServes, Tom Riddle]
-
A.
servedWithout
Indicates that one entity is provided, delivered, or made available in the absence of another entity that is typically or potentially associated with it.
-
B.
someServe
Indicates that one entity serves, assists, or performs duties for another entity in some capacity.
-
C.
servesAtThePleasureOf
Indicates that one entity holds a position or role that can be terminated at any time by another entity, typically at the discretion or will of that other entity.
-
D.
ignorantOf
Indicates that one entity lacks knowledge or awareness of another entity or of some specific fact, topic, or situation.
-
E.
intendedToServe
Indicates that one entity was designed, planned, or purposed specifically to benefit, assist, or fulfill the needs of another entity.
- F. None of above. chosen
Provenance (4 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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.