Triple
T8292286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clark’s Island |
E193927
|
entity |
| Predicate | John ClarkRole |
P82573
|
FINISHED |
| Object | Mayflower’s first mate |
—
|
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: Mayflower’s first mate | Statement: [Clark’s Island, John ClarkRole, Mayflower’s first mate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: John ClarkRole Context triple: [Clark’s Island, John ClarkRole, Mayflower’s first mate]
-
A.
roleAtD.C.United
Indicates that an entity holds or held a specific role or position within the D.C. United soccer organization.
-
B.
chiefEngineerLaMarrPortrayedBy
Indicates that the character Chief Engineer LaMarr is portrayed by a specified actor.
-
C.
Ron Harper
Indicates a relationship or action involving Ron Harper, such as participation, association, or attribution connected to this individual.
-
D.
roleInTransformers: Dark of the Moon
Indicates that an entity has a role or appearance in the film "Transformers: Dark of the Moon."
-
E.
Lincoln Lewis
Indicates a relationship or association involving the entity or name "Lincoln Lewis," such as authorship, participation, or attribution in a given context.
- F. None of above. chosen
Provenance (4 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7c9ccbfc81908825685c23b80d23 |
completed | March 31, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69cb70b5b5348190b296e0ecec95de60 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d648988190ab0669cc0592e827 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:52 p.m.