Triple
T24761728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deathly Hallows |
E619462
|
entity |
| Predicate | firstExplainedBy |
P37401
|
FINISHED |
| Object | Xenophilius Lovegood |
—
|
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: Xenophilius Lovegood | Statement: [Deathly Hallows, firstExplainedBy, Xenophilius Lovegood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstExplainedBy Context triple: [Deathly Hallows, firstExplainedBy, Xenophilius Lovegood]
-
A.
usedToExplain
Indicates that one entity serves as an explanation or clarification for another entity.
-
B.
laterExplained
Indicates that an earlier event, statement, or situation is clarified or made understandable by information provided at a subsequent time.
-
C.
firstEncounteredBy
Indicates that one entity is the person or agent who initially discovered, met, or came across the other entity for the first time.
-
D.
firstDefinedBy
chosen
Indicates that one entity is the original source that formally introduced, specified, or defined another entity.
-
E.
firstScientificExplanationBy
Indicates that one entity is the first to provide a scientific explanation for a phenomenon, concept, or observation associated with 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_69e2fabbea94819092ed41348909622f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 18, 2026, 4:27 a.m.