Triple
T18974252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max von Mayerling |
E464249
|
entity |
| Predicate | residesAtInFiction |
P126434
|
FINISHED |
| Object | Norma Desmond’s mansion on Sunset Boulevard |
—
|
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: Norma Desmond’s mansion on Sunset Boulevard | Statement: [Max von Mayerling, residesAtInFiction, Norma Desmond’s mansion on Sunset Boulevard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residesAtInFiction Context triple: [Max von Mayerling, residesAtInFiction, Norma Desmond’s mansion on Sunset Boulevard]
-
A.
residentInFiction
Indicates that one entity is a fictional character or element that resides or exists within the fictional setting, world, or universe represented by another entity.
-
B.
residesInFictionalLocation
Indicates that an entity lives or is based in a location that is explicitly fictional or imaginary.
-
C.
basedInFictionalWorkLocation
chosen
Indicates that an entity’s location or setting is situated within a fictional place as depicted in a specific creative work.
-
D.
stateOfFictionalResidence
Indicates the state or region in which a fictional character’s residence is located.
-
E.
basedInFictionalLocation
Indicates that an entity’s primary setting, origin, or operations occur in a fictional (non-real) location.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d61d7728819096f0baea75658a6a |
completed | April 20, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, noon