Triple
T16340937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierpont Edwards |
E396800
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Pierpont |
E139215
|
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: Pierpont | Statement: [Pierpont Edwards, givenName, Pierpont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pierpont Context triple: [Pierpont Edwards, givenName, Pierpont]
-
A.
Pierpont
chosen
Pierpont is the distinctive middle name of the influential American financier and banker J. P. Morgan.
-
B.
Pierrepont
Pierrepont is a given name associated with the American architect C. P. H. Gilbert, known for designing opulent Gilded Age mansions in New York City.
-
C.
Parkeston
Parkeston is a village and port area in Essex, England, situated near Harwich and known historically for its railway and maritime connections.
-
D.
Point Pleasant
Point Pleasant is a short-lived 2005 supernatural drama television series that blends horror and mystery as it follows a young woman with ominous powers arriving in a New Jersey beach town.
-
E.
Boughton
Boughton is a small rural village in Norfolk, England, situated near the settlement of Stoke Ferry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da09dcf48190b6fdd14b1812c56a |
completed | April 18, 2026, 1:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00261cf0648190b4dd5ff79de7e315 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.