Triple
T15100033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Einhard |
E360638
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Einhart |
E360638
|
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: Einhart | Statement: [Einhard, alsoKnownAs, Einhart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Einhart Context triple: [Einhard, alsoKnownAs, Einhart]
-
A.
Einhart
chosen
Einhart is an alternate spelling of Einhard, the Frankish scholar and courtier best known for writing the biography of Charlemagne.
-
B.
Erinn
Erinn is a given name, typically used as a variant spelling of Erin.
-
C.
Kaela
Kaela is the given name of American professional basketball player Kaela Davis.
-
D.
Minn-Erva
Minn-Erva is a Kree sniper and Starforce member in the Marvel Cinematic Universe, appearing as an antagonist in the film "Captain Marvel."
-
E.
Heather Goldenhersh
Heather Goldenhersh is an American actress best known for her work on stage and screen, including her acclaimed performance in the film and play "Doubt."
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00550007481909e02ee1d597a4d37 |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae2571f48190b73f0aecd113fed6 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:04 a.m.