Triple
T10415045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satisfied |
E245492
|
entity |
| Predicate | followsInShow |
P25512
|
FINISHED |
| Object | Helpless |
E245497
|
NE 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: Helpless | Statement: [Satisfied, followsInShow, Helpless]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helpless Context triple: [Satisfied, followsInShow, Helpless]
-
A.
Helpless
"Helpless" is a melancholic folk-rock song written by Neil Young, best known for its haunting melody and themes of nostalgia and emotional vulnerability.
-
B.
Helpless
chosen
"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 soulful, guitar-driven pop-rock song by John Mayer from his album *The Search for Everything*, reflecting themes of emotional vulnerability and longing.
-
D.
Defenseless
Defenseless is a 1991 American thriller film starring Barbara Hershey as a lawyer entangled in a dangerous murder investigation.
-
E.
Powerless
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea0f7d188190a60a7c3832c51515 |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc043074819083d219ec1c40f931 |
completed | April 9, 2026, 7:20 p.m. |
Created at: April 6, 2026, 12:10 p.m.