Triple
T2419123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Markkula |
E52377
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Armas |
E235038
|
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: Armas | Statement: [Mike Markkula, givenName, Armas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armas Context triple: [Mike Markkula, givenName, Armas]
-
A.
Armas
chosen
Armas is a Finnish given name, notably used as one of the names of the renowned Finnish poet Eino Leino.
-
B.
Fussilat
Fussilat is the 41st chapter of the Qur’an, known for its detailed exposition of divine revelation, signs in creation, and the consequences of accepting or rejecting the message.
-
C.
Termunten
Termunten is a small village in the province of Groningen in the northeastern Netherlands, situated near the Ems estuary and the Wadden Sea.
-
D.
Aasrud
Aasrud is a Norwegian surname most notably borne by politician Rigmor Aasrud.
-
E.
ARMIR
ARMIR was the Italian 8th Army deployed on the Eastern Front during World War II, best known for its disastrous defeat alongside German forces in the Soviet Union.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc96e1b3881909de57501b5d4099a |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf5397508190b755e522060041c0 |
completed | March 9, 2026, 12:38 p.m. |
Created at: March 6, 2026, 9:42 p.m.