Triple
T11991945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riggan Thomson |
E285426
|
entity |
| Predicate | careerGoal |
P37798
|
FINISHED |
| Object | revive his acting career |
—
|
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: revive his acting career | Statement: [Riggan Thomson, careerGoal, revive his acting career]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerGoal Context triple: [Riggan Thomson, careerGoal, revive his acting career]
-
A.
plannedCareer
Indicates that an individual has chosen and intends to pursue a specific career path.
-
B.
targetCareer
chosen
Indicates that one entity is the intended or pursued career or professional goal of another entity.
-
C.
careerStart
Indicates the point in time when an entity begins its professional career or main occupational activity.
-
D.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
-
E.
careerPath
Indicates the progression or sequence of roles, positions, or occupations that an individual follows over time in their professional life.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b11ac481909866b611380792e7 |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902abca70819098291aa51b593708 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.