Triple
T5400380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatha |
E120758
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Fatha |
E120758
|
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: Fatha | Statement: [Fatha, name, Fatha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fatha Context triple: [Fatha, name, Fatha]
-
A.
Fatha
chosen
Fatha is the nickname of Earl Hines, a pioneering American jazz pianist and bandleader whose innovative style helped shape early jazz and swing music.
-
B.
Manfalut
Manfalut is a city in Upper Egypt known as an agricultural and commercial center within the Asyut region along the Nile.
-
C.
Fideuram
Fideuram is a prominent Italian private banking and wealth management institution operating within the Intesa Sanpaolo banking group.
-
D.
Fakui
Fakui is the given name of Zhang Fakui, a notable Chinese military figure.
-
E.
Faeto
Faeto is a small town in southern Italy known for its unique linguistic heritage, including the rare Franco-Provençal dialect Faetar.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8770809c8190bb387ef04ffa794c |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3383b360819087447e6813c45edf |
completed | March 22, 2026, 12:10 a.m. |
Created at: March 20, 2026, 2:04 p.m.