Triple
T4124986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorraine Motel |
E92702
|
entity |
| Predicate | balconyAssociatedWithAssassination |
P8557
|
FINISHED |
| Object | outside Room 306 |
—
|
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: outside Room 306 | Statement: [Lorraine Motel, balconyAssociatedWithAssassination, outside Room 306]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: balconyAssociatedWithAssassination Context triple: [Lorraine Motel, balconyAssociatedWithAssassination, outside Room 306]
-
A.
relatedAssassination
Indicates a relationship where one entity is connected to, involved in, or associated with an assassination event concerning another entity.
-
B.
assassinatedIn
Indicates that an assassination of one entity occurred within the specified location or context represented by another entity.
-
C.
assassinationAttemptLocation
chosen
Indicates the place where an attempted assassination occurred or was intended to occur.
-
D.
assassinated
Indicates that one entity deliberately killed another, typically for political, ideological, or strategic reasons.
-
E.
assassinationDate
Indicates the date on which an assassination of the referenced entity occurred.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0246e40081908ad6741a830ca68e |
completed | March 9, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_69af01867698819098e4144634b2ec4f |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:41 p.m.