Triple
T9600453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asher Peres |
E231834
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Asher |
E65911
|
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: Asher | Statement: [Asher Peres, givenName, Asher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asher Context triple: [Asher Peres, givenName, Asher]
-
A.
Asher
chosen
Asher is a biblical figure, one of the twelve sons of Jacob and the ancestor of the Israelite Tribe of Asher.
-
B.
Asher Blinkoff
Asher Blinkoff is an American child voice actor best known for voicing Dennis in the Hotel Transylvania animated film series.
-
C.
Jeremy Ashkenas
Jeremy Ashkenas is an American programmer and open-source developer best known for creating the CoffeeScript language and contributing to projects like Backbone.js and Underscore.js.
-
D.
Asher Keddie
Asher Keddie is an acclaimed Australian actress known for her award-winning television roles in series such as "Offspring" and various high-profile dramas and miniseries.
-
E.
Aaron ben Asher
Aaron ben Asher was a 10th-century Jewish scribe and grammarian, regarded as the most authoritative Masorete whose vocalization and textual traditions became the standard for the Hebrew Bible.
- 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a3934d481908400a63335d644bd |
completed | April 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d161a4a7ac81909060a929e5489512 |
completed | April 4, 2026, 7:08 p.m. |
Created at: March 30, 2026, 8:07 p.m.