Triple
T36445751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamber of Secrets |
E897864
|
entity |
| Predicate | historicalEventInFiction |
P120967
|
FINISHED |
| Object | death of Myrtle Warren |
—
|
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: death of Myrtle Warren | Statement: [Chamber of Secrets, historicalEventInFiction, death of Myrtle Warren]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalEventInFiction Context triple: [Chamber of Secrets, historicalEventInFiction, death of Myrtle Warren]
-
A.
fictionalHistoryFeature
Indicates a relationship where something is a notable element or aspect within the fictional history or backstory of another entity.
-
B.
fictionalUniverseEvent
chosen
Indicates an event or occurrence that takes place within a specific fictional universe or narrative continuity.
-
C.
hasEventInFiction
Indicates that a fictional work includes or depicts a particular event within its narrative.
-
D.
fictionalEventMarked
Indicates that an event is identified or designated as fictional rather than real.
-
E.
capturedInFictionalEvent
Indicates that an entity is depicted as being captured during a fictional event or scenario.
- 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_69f76e5720b481908f8177ac24a7560b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a01295195748190b896d99c3d1f6134 |
completed | May 11, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_6a0128fe96dc8190a73715ab08752dd1 |
completed | May 11, 2026, 12:55 a.m. |
Created at: May 3, 2026, 4:10 p.m.