Triple
T18661084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belasco House |
E456196
|
entity |
| Predicate | visitedByFictionalCharacterGroup |
P62826
|
FINISHED |
| Object | a team of psychic investigators |
—
|
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: a team of psychic investigators | Statement: [Belasco House, visitedByFictionalCharacterGroup, a team of psychic investigators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visitedByFictionalCharacterGroup Context triple: [Belasco House, visitedByFictionalCharacterGroup, a team of psychic investigators]
-
A.
visitedByCharacter
chosen
Indicates that a location or place is visited or physically gone to by a specific character.
-
B.
meetsFictionalCharacter
Indicates that one entity encounters or comes into contact with a fictional character.
-
C.
attendedByFictionalCharacter
Indicates that a fictional character is present at, participates in, or is an attendee of a particular event or gathering.
-
D.
hasBranchInFictionalLocation
Indicates that an organization maintains a branch, office, or presence within a fictional or imaginary location.
-
E.
neighborOfFictional
Indicates that one fictional entity is located next to or in close proximity to another fictional entity within a narrative or imagined setting.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5508a30248190abdb51e345168849 |
completed | April 19, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:48 a.m.