Triple
T23059459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lion's View estate |
E574255
|
entity |
| Predicate | sceneOfInFiction |
P149210
|
FINISHED |
| Object | intense family interrogations |
—
|
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: intense family interrogations | Statement: [Lion's View estate, sceneOfInFiction, intense family interrogations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sceneOfInFiction Context triple: [Lion's View estate, sceneOfInFiction, intense family interrogations]
-
A.
placeOfFictionalEvent
chosen
Indicates the location where a fictional event is depicted as occurring within a narrative or story.
-
B.
scenes
Indicates that one entity is a scene or setting in which the other entity occurs, appears, or is depicted.
-
C.
placeOfSetting
Indicates the location or environment where an event, scene, or situation takes place.
-
D.
placeOfFictionalActivity
Indicates the location or setting where a fictional event, action, or storyline takes place.
-
E.
sceneDepicts
Indicates that a scene visually represents or portrays a particular entity, event, or situation.
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1899e6c788190a2a862122cae8dc3 |
completed | April 29, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:55 p.m.