Triple
T11171550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taron Egerton |
E264284
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Taron |
E264284
|
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: Taron | Statement: [Taron Egerton, givenName, Taron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taron Context triple: [Taron Egerton, givenName, Taron]
-
A.
Taron
chosen
Taron is a masculine given name most prominently associated with Welsh actor Taron Egerton.
-
B.
Taron
Taron is a high-speed multi-launch steel roller coaster located at Phantasialand in Germany, renowned for its intense layout and immersive themed environment.
-
C.
Taron
Taron was a historical Armenian province and cultural region in the upper Euphrates area, known as an early center of Armenian Christianity and noble dynasties.
-
D.
Tarr
Tarr is the surname of Hungarian film director Béla Tarr, renowned for his bleak, atmospheric, and visually distinctive art-house cinema.
-
E.
Torell
Torell is a given name and surname of Scandinavian origin, often considered a variant or diminutive of the name Tore.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e89660208190b1d9e91529f5d246 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463b155a08190b361b38a39d25b1f |
completed | April 19, 2026, 5:10 a.m. |
Created at: April 8, 2026, 9:29 p.m.