Triple
T23568534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I. A Song for All Seas, All Ships |
E580035
|
entity |
| Predicate | textSourceNationality |
P91127
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [I. A Song for All Seas, All Ships, textSourceNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textSourceNationality Context triple: [I. A Song for All Seas, All Ships, textSourceNationality, American]
-
A.
nationalityInText
Indicates that a person's nationality is mentioned or specified within a given text.
-
B.
sourceWorkNationality
chosen
Indicates that a work or source is associated with a particular nationality or country of origin.
-
C.
userNationality
Indicates that a user has a specific national affiliation or citizenship.
-
D.
builderNationality
Indicates the country or national affiliation of the entity that built or constructed another entity.
-
E.
targetNationality
Indicates that one entity has the specified nationality as its intended or designated target.
- 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_69e24601a9108190bc31e83833c980e4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1afd15ca48190afd119ec1b4a07b2 |
completed | April 29, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:35 p.m.