Triple
T8084850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This House of Grief |
E188704
|
entity |
| Predicate | basedOnRealEvent |
P3224
|
FINISHED |
| Object | 2005 Winchelsea dam deaths |
—
|
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: 2005 Winchelsea dam deaths | Statement: [This House of Grief, basedOnRealEvent, 2005 Winchelsea dam deaths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnRealEvent Context triple: [This House of Grief, basedOnRealEvent, 2005 Winchelsea dam deaths]
-
A.
usesRealHistoricalEvents
Indicates that the subject incorporates or is based on actual events that occurred in real history.
-
B.
basedOnEventsDescribedIn
Indicates that something is derived from, inspired by, or constructed using the events described in another source.
-
C.
basedOnEvent
chosen
Indicates that something is derived from, influenced by, or determined in reference to a specific event.
-
D.
basedOnRealLocation
Indicates that something is derived from, inspired by, or modeled after an actual geographic place in the real world.
-
E.
basedOnFictionalDateIn
Indicates that something is derived from, inspired by, or determined using a fictional date occurring within a specified work, timeline, or fictional context.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb415f73808190b69db386b447062e |
completed | March 31, 2026, 3:37 a.m. |
| PD | Predicate disambiguation | batch_69cb04a14cd88190a79ed26cbeec1c33 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:29 p.m.