Triple
T18056543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xenophilius Lovegood (Harry Potter and the Deathly Hallows – Part 1) |
E432051
|
entity |
| Predicate | reasonForBetrayal |
P105231
|
FINISHED |
| Object | Luna Lovegood captured by Death Eaters |
—
|
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: Luna Lovegood captured by Death Eaters | Statement: [Xenophilius Lovegood (Harry Potter and the Deathly Hallows – Part 1), reasonForBetrayal, Luna Lovegood captured by Death Eaters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForBetrayal Context triple: [Xenophilius Lovegood (Harry Potter and the Deathly Hallows – Part 1), reasonForBetrayal, Luna Lovegood captured by Death Eaters]
-
A.
causeOfBetrayal
chosen
Indicates that one entity is the reason or motivating factor behind another entity’s act of betrayal.
-
B.
reasonForMurder
Indicates the motive or underlying cause that led someone to commit a murder.
-
C.
betrayalSign
Indicates an action or signal through which one party violates the trust, loyalty, or expectations of another.
-
D.
betrayalLocation
Indicates the place where an act of betrayal occurs or is carried out.
-
E.
betrayed
Indicates that one entity has broken the trust, loyalty, or confidence of another, typically by acting against their interests or revealing something meant to be kept secret.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c102d08081908d2419c898213400 |
completed | April 19, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:26 a.m.