Triple
T22724220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Power |
E561947
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Shane Johnson |
—
|
NE NERFINISHED |
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: Shane Johnson | Statement: [Power, starring, Shane Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shane Johnson Context triple: [Power, starring, Shane Johnson]
-
A.
Shane Johnson
chosen
Shane Johnson is an American actor best known for his role as Cooper Saxe in the Power television franchise, including Power Book II: Ghost.
-
B.
Shane Reynolds
Shane Reynolds is a former Major League Baseball right-handed starting pitcher best known for his long tenure and success with the Houston Astros.
-
C.
Shane Rimmer
Shane Rimmer was a Canadian actor and voice artist best known for his work on the TV series "Thunderbirds" and numerous supporting roles in major British and American films.
-
D.
Shane Vendrell
Shane Vendrell is a volatile and morally compromised detective on the TV series "The Shield," known for his loyalty to Vic Mackey and his descent into increasingly tragic and violent choices.
-
E.
Shane Hazen
Shane Hazen is a film editor known for his work on Terrence Malick’s romantic drama "To the Wonder."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17928a21c8190a1b888754ba7808b |
completed | April 29, 2026, 3:21 a.m. |
Created at: April 17, 2026, 3:20 p.m.