Triple
T5583817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicole |
E146703
|
entity |
| Predicate | helpsTo |
P33868
|
FINISHED |
| Object | expose the oppressive regime of Gilead |
—
|
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: expose the oppressive regime of Gilead | Statement: [Nicole, helpsTo, expose the oppressive regime of Gilead]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsTo Context triple: [Nicole, helpsTo, expose the oppressive regime of Gilead]
-
A.
especiallyHelpsWhen
Indicates that one entity is particularly beneficial or effective in assisting another entity or situation under certain conditions or circumstances.
-
B.
helpsProduce
Indicates that one entity contributes to or facilitates the creation, generation, or production of another entity.
-
C.
providesSupportTo
Indicates that one entity offers help, resources, or reinforcement to another entity to aid its function, stability, or success.
-
D.
helpedCause
chosen
Indicates that one entity contributed to bringing about, enabling, or facilitating an outcome or event involving another entity.
-
E.
helpsIdentify
Indicates a relationship where one entity serves to distinguish, recognize, or determine the identity or characteristics of another entity.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02084b5f0819089b62283c57704ec |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b16b9bc8190ab0b945507d90e05 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:37 p.m.