Triple
T12146479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Niagara |
E289334
|
entity |
| Predicate | famousSignalAssociated |
P25161
|
FINISHED |
| Object | "We have met the enemy and they are ours" |
—
|
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: "We have met the enemy and they are ours" | Statement: [USS Niagara, famousSignalAssociated, "We have met the enemy and they are ours"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: famousSignalAssociated Context triple: [USS Niagara, famousSignalAssociated, "We have met the enemy and they are ours"]
-
A.
hasFamousSignal
chosen
Indicates that an entity is associated with a well-known or widely recognized signal, message, or indicator.
-
B.
notablyAssociatedWith
Indicates that one entity is prominently or distinctively connected with another in a way that is especially noteworthy or remarkable.
-
C.
famousVariant
Indicates that one entity is a well-known or widely recognized version or form of another entity.
-
D.
signAssociated
Indicates that one entity is associated with, represented by, or linked to a particular sign or symbol of another entity.
-
E.
famousPattern
Indicates that one entity is widely recognized or renowned for a particular style, design, or recurring configuration associated with it.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.