Triple
T6882062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phillis Wheatley |
E158820
|
entity |
| Predicate | broughtToLocationDate |
P18610
|
FINISHED |
| Object | 1761 |
—
|
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: 1761 | Statement: [Phillis Wheatley, broughtToLocationDate, 1761]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broughtToLocationDate Context triple: [Phillis Wheatley, broughtToLocationDate, 1761]
-
A.
ordinationDate
Indicates the date on which an individual was formally ordained to a religious office or role.
-
B.
landingDate
chosen
Indicates the date on which an entity arrives at or touches down on a specified destination or surface.
-
C.
occupationDate
Indicates the date or time period during which an entity assumes, holds, or begins a particular role, position, or occupation.
-
D.
dateReceived
Indicates the point in time when something (such as a message, item, or document) was received by a recipient.
-
E.
deliveredAt
Indicates the specific time or location at which something (such as a message, product, or service) is delivered.
- 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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8e90c9481908d00634f67fa71f8 |
completed | March 27, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b53e9881909ec298daa9f1913b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:23 p.m.