Triple
T17220030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dayton |
E417952
|
entity |
| Predicate | hasRelatedName |
P3889
|
FINISHED |
| Object | Peyton |
E132632
|
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: Peyton | Statement: [Dayton, hasRelatedName, Peyton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peyton Context triple: [Dayton, hasRelatedName, Peyton]
-
A.
Peyton
chosen
Peyton is a given name most famously borne by Peyton Randolph, the first president of the Continental Congress in early American history.
-
B.
Peyton Flanders
Peyton Flanders is the manipulative and vengeful nanny who infiltrates a suburban family in the psychological thriller film "The Hand That Rocks the Cradle."
-
C.
Peyton Page
Peyton Page is a relatively uncommon personal name that may refer to various individuals rather than a single widely recognized public figure.
-
D.
Peyton Van Den Broeck
Peyton Van Den Broeck is known as the spouse of Dutch Van Den Broeck, a central character in the crime novel and film "Random Hearts."
-
E.
Peyton Westlake
Peyton Westlake is a disfigured scientist-turned-vigilante who uses synthetic skin and brutal methods to seek revenge in the Darkman film series.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddd52d4819098b51d55e063c8ab |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675553b88190a04987b0de62cb15 |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.