Triple
T14867163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samu Pecz |
E349645
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Samu |
E104345
|
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: Samu | Statement: [Samu Pecz, givenName, Samu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samu Context triple: [Samu Pecz, givenName, Samu]
-
A.
Samu
chosen
Samu is a given name, commonly used as a short form or variant of Samuel in various cultures.
-
B.
Sama
Sama is a town in northern Spain’s Asturias region, situated in the Nalón River valley and known historically for its coal-mining and industrial heritage.
-
C.
Sama
Sama is an Austronesian language spoken by the Sama-Bajau people of the southern Philippines and parts of Malaysia and Indonesia.
-
D.
Samaro
Samaro is a town in Pakistan’s Sindh province, situated within the Umerkot District.
-
E.
Oga
Oga is a coastal city in northern Japan known for the Oga Peninsula and its traditional Namahage folklore.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5776b848190bfe3a06ff261dc31 |
completed | April 15, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe651067cc8190b9c218ef1f802762 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:55 a.m.