Triple
T35210885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lone Wolf in Mexico |
E1016671
|
entity |
| Predicate | hasProtagonistPastOccupation |
—
|
GENERATED |
| Object | jewel thief |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtagonistPastOccupation Context triple: [The Lone Wolf in Mexico, hasProtagonistPastOccupation, jewel thief]
-
A.
characterFormerOccupation
chosen
Indicates that a character previously held a specific occupation but no longer does.
-
B.
hasOccupationDuringStory
Indicates that an entity holds or performs a particular occupation or job role during the time span covered by the story.
-
C.
otherProtagonistOccupation
Indicates that another main character in the narrative has a specific occupation or job role.
-
D.
protagonistParentOccupation
Indicates the occupation or job held by the protagonist’s parent in the described context.
-
E.
hasPastOccupation
Indicates that an entity previously held a particular job, role, or occupation in the past.
- F. None of above.
Provenance (1 batch)
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_69f76ddf549c8190869d0af076fd2c28 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:02 p.m.