Triple
T5292733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Stranger Is Watching |
E119777
|
entity |
| Predicate | hasKillerCharacter |
P32100
|
FINISHED |
| Object | psychopathic kidnapper |
—
|
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: psychopathic kidnapper | Statement: [A Stranger Is Watching, hasKillerCharacter, psychopathic kidnapper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKillerCharacter Context triple: [A Stranger Is Watching, hasKillerCharacter, psychopathic kidnapper]
-
A.
hasVillain
chosen
Indicates that one entity is the villain or primary antagonist associated with another entity.
-
B.
hasMannerOfDeath
Indicates the specific way or circumstances in which an entity died, such as natural causes, accident, homicide, or suicide.
-
C.
hasThiefCharacter
Indicates that an entity includes or features a character whose role or identity is that of a thief.
-
D.
killedBy
Indicates that one entity caused the death of another entity.
-
E.
hasEnigmaticCharacter
Indicates that something possesses a mysterious, puzzling, or difficult-to-interpret quality or nature.
- 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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8682d18c8190bbb35cc75c8a7c12 |
completed | March 20, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69bd844dfdac819086efedd1cbebff84 |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:52 p.m.