Triple
T36119441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Riddle’s wand |
E1044702
|
entity |
| Predicate | capableOfCasting |
P184704
|
FINISHED |
| Object | Avada Kedavra |
—
|
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: Avada Kedavra | Statement: [Tom Riddle’s wand, capableOfCasting, Avada Kedavra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capableOfCasting Context triple: [Tom Riddle’s wand, capableOfCasting, Avada Kedavra]
-
A.
hasCast
Indicates that a creative work features a particular group of performers or actors.
-
B.
mirrorCastBy
Indicates that one entity serves as a reflective counterpart or duplication of another, as if produced or defined by a mirror.
-
C.
hasCasting
Indicates that an entity features a particular actor or set of actors in its cast.
-
D.
mayCast
Indicates that an entity has the permission or ability to perform a casting action on another entity or resource.
-
E.
castFeature
Indicates that a particular actor or performer is part of the cast for a given feature (such as a film, show, or other production).
- 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_69f76e356c908190abc6ca1e6a05b011 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b3e0f1c88190985feab6cee8b05e |
completed | May 3, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:08 p.m.