Triple
T32132629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | shipwreck of the Elizabeth (1850) |
E820690
|
entity |
| Predicate | significantPersonInvolved |
P15562
|
FINISHED |
| Object | Margaret Fuller |
—
|
NE NERFINISHED |
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: Margaret Fuller | Statement: [shipwreck of the Elizabeth (1850), significantPersonInvolved, Margaret Fuller]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantPersonInvolved Context triple: [shipwreck of the Elizabeth (1850), significantPersonInvolved, Margaret Fuller]
-
A.
significantEventInvolves
Indicates that a significant event includes or engages a particular entity as a participant or key element.
-
B.
involvedActor
chosen
Indicates that an entity participates as an actor or participant in the referenced event, activity, or situation.
-
C.
rightInvolved
Indicates that an entity is involved in or associated with a legal or formal right held, exercised, or affected in a given context.
-
D.
closelyInvolvedWith
Indicates a relationship in which one entity is deeply and actively engaged with another’s activities, decisions, or affairs.
-
E.
constantInvolved
Indicates that a constant participates in or is directly involved in the specified relation, operation, or context.
- 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_69f349039e0c819091c7a7d322e3f46d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: May 1, 2026, 12:29 a.m.