Triple
T22490141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hristo Stoichkov |
E555992
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Hristo |
—
|
NE NERFINISHED |
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: Hristo | Statement: [Hristo Stoichkov, givenName, Hristo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hristo Context triple: [Hristo Stoichkov, givenName, Hristo]
-
A.
Hristo
chosen
Hristo is a masculine given name commonly used in Bulgaria, often associated with notable figures such as the football legend Hristo Stoichkov.
-
B.
Hristo Dimitrov
Hristo Dimitrov is a Bulgarian professional footballer known for playing as a defender for various clubs in Bulgaria’s domestic leagues.
-
C.
Hristo Smirnenski
Hristo Smirnenski was a prominent early 20th-century Bulgarian poet and satirist known for his socially engaged, revolutionary-themed works.
-
D.
Hristo Petkov
Hristo Petkov is an actor known for his role in the military action film "Jarhead 2: Field of Fire."
-
E.
Hristo Shopov
Hristo Shopov is a Bulgarian actor best known internationally for portraying Pontius Pilate in Mel Gibson’s film "The Passion of the Christ."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c40930c81908310ac6afd98c62e |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.