Triple
T37055961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Queen and I |
E917185
|
entity |
| Predicate | helpedBring |
P33868
|
FINISHED |
| Object | Gym Class Heroes to mainstream attention |
—
|
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: Gym Class Heroes to mainstream attention | Statement: [The Queen and I, helpedBring, Gym Class Heroes to mainstream attention]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedBring Context triple: [The Queen and I, helpedBring, Gym Class Heroes to mainstream attention]
-
A.
helpedCause
chosen
Indicates that one entity contributed to bringing about, enabling, or facilitating an outcome or event involving another entity.
-
B.
broughtOn
Indicates that one entity caused, initiated, or was responsible for the occurrence or introduction of another entity or event.
-
C.
broughtTo
Indicates that one entity caused another entity or object to be transported or accompanied to a particular destination or recipient.
-
D.
helpsIn
Indicates that one entity provides assistance, support, or aid to another entity in performing or achieving a particular task, activity, or goal.
-
E.
laterHelps
Indicates that one entity provides help or assistance to another at a subsequent time rather than immediately.
- 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_69f76e94d0308190a3f06890e133c88e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.