Triple
T28639135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Snitch |
E724870
|
entity |
| Predicate | firstInUniverseMakerResidence |
P201977
|
FINISHED |
| Object | Godric's Hollow |
—
|
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: Godric's Hollow | Statement: [Golden Snitch, firstInUniverseMakerResidence, Godric's Hollow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstInUniverseMakerResidence Context triple: [Golden Snitch, firstInUniverseMakerResidence, Godric's Hollow]
-
A.
firstInUniverseMaker
Indicates that the subject is the earliest or original creator or maker of something within the entire universe.
-
B.
firstPermanentSettler
Indicates that the subject is the earliest individual or group to establish a lasting, continuous residence in the location or entity specified by the object.
-
C.
formerResidenceOf
Indicates that a location was once the place where a person or entity lived or was based, but is no longer their current residence.
-
D.
inUniverseBirthplace
Indicates that an entity’s birthplace is located within a specified fictional or defined universe.
-
E.
architectOfResidence
Indicates that one entity is the architect responsible for designing the residence associated with another entity.
- 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_69f01d8328c48190bc0e5f9b9b848582 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a003ffb548081908ba64fd2b570f42f |
completed | May 10, 2026, 8:21 a.m. |
| PD | Predicate disambiguation | batch_6a003fcecf788190a13dff38b9de3414 |
completed | May 10, 2026, 8:20 a.m. |
| PDg | Predicate description generation | batch_6a003ffa64e48190b37cce7d1c939b78 |
completed | May 10, 2026, 8:21 a.m. |
Created at: April 28, 2026, 4:43 a.m.