Triple
T17961798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quarrel Jr. |
E449100
|
entity |
| Predicate | helpsDuring |
P56710
|
FINISHED |
| Object | Caribbean missions |
—
|
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: Caribbean missions | Statement: [Quarrel Jr., helpsDuring, Caribbean missions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsDuring Context triple: [Quarrel Jr., helpsDuring, Caribbean missions]
-
A.
especiallyHelpsWhen
chosen
Indicates that one entity is particularly beneficial or effective in assisting another entity or situation under certain conditions or circumstances.
-
B.
laterHelps
Indicates that one entity provides help or assistance to another at a subsequent time rather than immediately.
-
C.
oftenHelps
Indicates that one entity frequently provides assistance or support to another.
-
D.
helpedCause
Indicates that one entity contributed to bringing about, enabling, or facilitating an outcome or event involving another entity.
-
E.
helpsSustain
Indicates that one entity contributes to maintaining, supporting, or prolonging the existence, condition, or operation of another.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b132cc10819088526a0b4b098d69 |
completed | April 19, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69e3f8f2bd088190b1e22ad4d9cc8b13 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:22 a.m.