Triple
T19288164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonya Walger |
E482367
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Powerless |
—
|
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: Powerless | Statement: [Sonya Walger, notableWork, Powerless]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Powerless Context triple: [Sonya Walger, notableWork, Powerless]
-
A.
Powerless
chosen
Powerless is a comedic television series set in the DC Universe that follows an insurance company specializing in coverage for ordinary people affected by superhero-related incidents.
-
B.
Helpless
"Helpless" is a romantic R&B-influenced song from the musical *Hamilton*, sung primarily by Eliza Schuyler as she falls in love with Alexander Hamilton.
-
C.
Helpless
"Helpless" is a song featured on Emmylou Harris's 1971 country-folk album "She Used to Wanna Be a Ballerina."
-
D.
Helpless
Helpless is a 2012 South Korean mystery-thriller film, based on a Japanese novel, in which Lee Sun-kyun plays a man desperately searching for his fiancée after her sudden disappearance.
-
E.
Helpless
"Helpless" is a soulful Motown song by the Four Tops, showcasing their emotive vocals and classic 1960s R&B sound.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc043fa481909bbe281a70fb508e |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.