Triple
T37878142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gardiners Island |
E944791
|
entity |
| Predicate | originalGrantTo |
P168
|
FINISHED |
| Object | Lion Gardiner |
E2247184
|
NE 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: Lion Gardiner | Statement: [Gardiners Island, originalGrantTo, Lion Gardiner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalGrantTo Context triple: [Gardiners Island, originalGrantTo, Lion Gardiner]
-
A.
aimedToGrant
Indicates an intention or effort to provide or confer something (such as a right, benefit, or permission) to a recipient.
-
B.
grantedBy
Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
-
C.
grantRecipient
Indicates that one entity is the recipient or beneficiary of a grant provided by another entity.
-
D.
grantedTo
chosen
Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
-
E.
grantsExistenceTo
Indicates that one entity is responsible for bringing another entity into existence or causing it to come into being.
- F. None of above.
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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a410cbeac60819092cae1554467715c |
completed | June 28, 2026, 11:59 a.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:19 p.m.