Triple
T16704784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adley Rutschman |
E405940
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Adley |
E405940
|
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: Adley | Statement: [Adley Rutschman, givenName, Adley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adley Context triple: [Adley Rutschman, givenName, Adley]
-
A.
Adley
chosen
Adley is a professional baseball catcher best known for playing with the Baltimore Orioles in Major League Baseball.
-
B.
Ayden
Ayden is a modern given name, typically used for boys, that is a spelling variant of the name Aidan.
-
C.
Madyson
Madyson is a modern English given name, typically a feminine variant of the name Madison.
-
D.
Kiley
Kiley is a given name used for people of any gender, often considered a variant spelling of names like Kylie or Kylee.
-
E.
Maddox
Maddox is the eldest son of actors Angelina Jolie and Brad Pitt, known for largely growing up in the public eye.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3833496dc8190ae4b4a03ba04d69d |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091a36a5c8190a1486fcf11995b7c |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.