Triple
T13717909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crystal Wall |
E328951
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Noah Slayton |
E1057169
|
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: Noah Slayton | Statement: [Crystal Wall, hasRelative, Noah Slayton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noah Slayton Context triple: [Crystal Wall, hasRelative, Noah Slayton]
-
A.
Noah Slayton
chosen
Noah Slayton is the child of Crystal Wall, about whom no widely known public information is available.
-
B.
Noah Huntley
Noah Huntley is a British actor and former model known for roles in films such as "28 Days Later," "Snow White and the Huntsman," and "The Chronicles of Narnia: The Lion, the Witch and the Wardrobe."
-
C.
Noah Crawford
Noah Crawford is an American actor best known for his role on the Nickelodeon television series "How to Rock."
-
D.
Nate Salsbury
Nate Salsbury was an American actor, manager, and showman best known as the business partner and co-organizer of Buffalo Bill’s Wild West show in the late 19th century.
-
E.
Noah Taylor
Noah Taylor is an Australian actor known for his character roles in films such as "Shine," "Almost Famous," and "Game of Thrones."
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4398f0448190810c840a82228706 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a847c4d08190b05ea525059f0465 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:54 p.m.