Triple
T20698156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Fox |
E508707
|
entity |
| Predicate | hasTragicElement |
P16448
|
FINISHED |
| Object | betrayal by Weapon X |
—
|
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: betrayal by Weapon X | Statement: [Silver Fox, hasTragicElement, betrayal by Weapon X]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTragicElement Context triple: [Silver Fox, hasTragicElement, betrayal by Weapon X]
-
A.
hasTragicEnding
Indicates that the event, story, or situation concludes with a sorrowful, disastrous, or otherwise deeply unfortunate outcome.
-
B.
hasTragicPast
chosen
Indicates that an entity has experienced a significantly sorrowful or traumatic history that influences its present state or characterization.
-
C.
hasDramaticElements
Indicates that something contains features or qualities characteristic of drama, such as heightened emotion, tension, or conflict.
-
D.
hasHorrorElements
Indicates that something contains features, themes, or stylistic aspects characteristic of the horror genre.
-
E.
hasDisasterElement
Indicates that something includes, involves, or is characterized by an element or aspect of a disaster.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c1132178819081086e085f7b3ff8 |
completed | April 21, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:11 p.m.