Triple
T22212433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josey McNamara |
E548984
|
entity |
| Predicate | roleAtLuckyChap |
P147306
|
FINISHED |
| Object | key creative force |
—
|
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: key creative force | Statement: [Josey McNamara, roleAtLuckyChap, key creative force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtLuckyChap Context triple: [Josey McNamara, roleAtLuckyChap, key creative force]
-
A.
LuckyRole
Indicates that an entity holds a role or position that is considered fortunate, advantageous, or marked by good luck.
-
B.
roleInPaydaySeries
Indicates that an entity has a specific role or involvement within the Payday video game series.
-
C.
roleInGameplay
Indicates the specific function or responsibility an entity has within the context of gameplay or game mechanics.
-
D.
roleOfCharacter
Indicates that one entity serves as the narrative or functional role played by a character within a story, scenario, or context.
-
E.
playRoleIn
Indicates that an entity participates in or performs a specific function, character, or part within an event, context, or system.
- F. None of above. chosen
Provenance (4 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2c8b608190b0047af4ac91b023 |
completed | April 28, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
| PDg | Predicate description generation | batch_69e723f65c5c8190a0ee3c539e5d0767 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 8:36 p.m.