Triple
T15768857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Greatest Game Ever Played |
E382295
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Peyton List |
E958189
|
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 List | Statement: [The Greatest Game Ever Played, castMember, Peyton List]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peyton List Context triple: [The Greatest Game Ever Played, castMember, Peyton List]
-
A.
Peyton List
chosen
Peyton List is an American actress and model best known for her roles on Disney Channel series such as "Jessie" and "Bunk'd."
-
B.
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.
-
C.
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."
-
D.
Peyton
Peyton is a given name most famously borne by Peyton Randolph, the first president of the Continental Congress in early American history.
-
E.
Lacey Pemberton
Lacey Pemberton is a popular high school girl and one of the central characters in John Green’s novel and film adaptation "Paper Towns."
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e051951bac8190a7d45f3612c6de72 |
completed | April 16, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff877a67008190b05f879d05876fd3 |
completed | May 9, 2026, 7:14 p.m. |
Created at: April 10, 2026, 4:47 a.m.