Triple
T33815983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernard P. Fife |
E866675
|
entity |
| Predicate | propAssociatedWith |
P2830
|
FINISHED |
| Object | single bullet in shirt pocket |
—
|
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: single bullet in shirt pocket | Statement: [Bernard P. Fife, propAssociatedWith, single bullet in shirt pocket]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propAssociatedWith Context triple: [Bernard P. Fife, propAssociatedWith, single bullet in shirt pocket]
-
A.
isAssociatedWith
chosen
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
B.
positionAssociatedWith
Indicates a relationship where a specific role, job, or position is linked or connected to a particular entity, context, or resource.
-
C.
associatedWithAssociation
Indicates a relationship where an entity is linked or connected to a particular association or organization.
-
D.
associatedThrough
Indicates that two entities are connected or related to each other by means of a specified intermediary, context, or linkage.
-
E.
originAssociatedWith
Indicates a relationship where an entity is connected to, derived from, or influenced by a particular origin, source, or point of beginning.
- 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_69f349911a8c81908478662194b23d8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fff324ac8190a2937cae665d109d |
completed | May 3, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:46 a.m.