Triple
T16875278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marion Crane |
E421281
|
entity |
| Predicate | motiveForTheft |
P6699
|
FINISHED |
| Object | desire to start a new life with Sam Loomis |
—
|
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: desire to start a new life with Sam Loomis | Statement: [Marion Crane, motiveForTheft, desire to start a new life with Sam Loomis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motiveForTheft Context triple: [Marion Crane, motiveForTheft, desire to start a new life with Sam Loomis]
-
A.
hasMotiveOfCriminals
Indicates that the specified motive is attributed to or associated with the criminals in question.
-
B.
placeOfTheft
Indicates the location where a theft occurred.
-
C.
motive
chosen
Indicates the underlying reason, intention, or driving force that explains why an entity performs or is associated with a particular action or event.
-
D.
stolenBy
Indicates that something has been taken unlawfully or without permission by a particular entity.
-
E.
collectionBeforeTheft
Indicates that a collection or gathering of items occurred prior to the act of theft.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f646308190b5e277b5f51cd315 |
completed | April 18, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e32b90ec3c819099c51bb7baf2984c |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:29 a.m.