Triple
T1506986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huff-Duff |
E33922
|
entity |
| Predicate | helpedWith |
P11876
|
FINISHED |
| Object | intercepting short U-boat transmissions |
—
|
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: intercepting short U-boat transmissions | Statement: [Huff-Duff, helpedWith, intercepting short U-boat transmissions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedWith Context triple: [Huff-Duff, helpedWith, intercepting short U-boat transmissions]
-
A.
helpedForm
Indicates that one entity contributed significantly to the creation, establishment, or founding of another entity.
-
B.
helpedLaunch
Indicates that one entity played a significant role in initiating, starting, or bringing another entity (such as a project, product, or organization) into operation or public release.
-
C.
helpedSecure
Indicates that one entity contributed to obtaining, protecting, or ensuring the safety or stability of another entity or outcome.
-
D.
workedUnder
Indicates that one entity was hierarchically subordinate to and performed work under the supervision or authority of another entity.
-
E.
assistsWith
chosen
Indicates that one entity helps or supports another entity in performing or accomplishing a specific task, activity, or objective.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90584b8b881908e112c7e59163812 |
completed | March 5, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69a88727ce48819089b482cdc25453d1 |
completed | March 4, 2026, 7:25 p.m. |
Created at: March 4, 2026, 7:24 p.m.