Triple
T23339797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taking Lives |
E591701
|
entity |
| Predicate | followsNarrativeDevice |
P23847
|
FINISHED |
| Object | serial killer assuming identities of victims |
—
|
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: serial killer assuming identities of victims | Statement: [Taking Lives, followsNarrativeDevice, serial killer assuming identities of victims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsNarrativeDevice Context triple: [Taking Lives, followsNarrativeDevice, serial killer assuming identities of victims]
-
A.
hasNarrativeDevice
chosen
Indicates that one entity employs, contains, or is characterized by a particular narrative device used in storytelling or discourse.
-
B.
narrativeStrategy
Indicates the method or approach used to structure, present, or convey a story or sequence of events.
-
C.
narrativeSequence
Indicates that one event or narrative element follows another in a temporal or logical storytelling order.
-
D.
followsStoryOf
Indicates that one narrative, account, or storyline continues from, is based on, or is derived from the events or structure of another.
-
E.
narrativeEffect
Indicates how one event, action, or element in a story influences the progression, tone, or interpretation of the overall narrative.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f198317f4c8190a557cacb86568d6c |
completed | April 29, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69effcfd8d288190937a887fe6023c11 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:18 p.m.