Triple
T36054545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morfin Gaunt |
E1042906
|
entity |
| Predicate | actualKillerOfRiddles |
P124122
|
FINISHED |
| Object | Tom Marvolo 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 Marvolo Riddle | Statement: [Morfin Gaunt, actualKillerOfRiddles, Tom Marvolo Riddle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actualKillerOfRiddles Context triple: [Morfin Gaunt, actualKillerOfRiddles, Tom Marvolo Riddle]
-
A.
hasSerialKiller
Indicates that one entity is a serial killer associated with, responsible for, or targeting another entity.
-
B.
hasKillerProtagonist
Indicates that the main character in a work is a killer or has committed killing as a defining aspect of their role.
-
C.
hasMurderer
chosen
Indicates that one entity is the person who committed the murder of another entity.
-
D.
hasKiller
Indicates that one entity is the killer or cause of death of another entity.
-
E.
revealsMurderTo
Indicates that one entity discloses information about a murder 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_69f76e2f09448190b0486d5ecad5e243 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.