Triple
T11683475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Foster |
E277677
|
entity |
| Predicate | fakes |
P62693
|
FINISHED |
| Object | her own death |
—
|
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: her own death | Statement: [Joan Foster, fakes, her own death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fakes Context triple: [Joan Foster, fakes, her own death]
-
A.
isFabricated
Indicates that something has been artificially made, constructed, or invented rather than naturally occurring or genuinely existing.
-
B.
falseFor
Indicates that a given statement or proposition does not hold true or is invalid specifically in the context of the referenced entity or situation.
-
C.
emulates
Indicates that one entity imitates or reproduces the behavior, function, or characteristics of another.
-
D.
kayfabe
Indicates the relationship or action of presenting events, rivalries, or personas as real and unscripted, despite being staged or predetermined.
-
E.
fakedOwnDeath
chosen
Indicates that an entity deliberately staged or pretended their own death to deceive others.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a462bb2881909238107d34c0a28d |
completed | April 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69d88a77e6e88190b7519100bde76575 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.