Triple
T35180746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port |
E1015838
|
entity |
| Predicate | associatedPlaywrightNationality |
P104737
|
FINISHED |
| Object | British |
—
|
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: British | Statement: [Port, associatedPlaywrightNationality, British]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedPlaywrightNationality Context triple: [Port, associatedPlaywrightNationality, British]
-
A.
hasPlaywrightNationality
chosen
Indicates that a playwright has a particular national affiliation or citizenship.
-
B.
associatedActNationality
Indicates that an act, event, or action is connected to or characterized by a particular nationality.
-
C.
authorNationality
Indicates the relationship between an author and the country or nationality with which that author is identified.
-
D.
nationalityInPlay
Indicates that, within the context of a play or performance, a character is portrayed as having a particular nationality.
-
E.
creatorNationality
Indicates that the creator of an entity has a specified national affiliation or citizenship.
- 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_69f76ddcc108819097f96853b7ed9ef4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.