Triple
T906419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asher B. Durand |
E19558
|
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 B. Durand, givenName, Asher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asher Context triple: [Asher B. Durand, 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.
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.
-
C.
Jared
Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
-
D.
Asher Angel
Asher Angel is an American actor and singer best known for his role as Billy Batson in the DC superhero film "Shazam!" and its sequel.
-
E.
Jeffrey
Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2cc85a08190bc8186eb9ed1fa38 |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a826d6781081908a59c0263515bbc8 |
completed | March 4, 2026, 12:34 p.m. |
Created at: March 1, 2026, 7:39 p.m.