Triple
T17226093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alice Masaryková |
E418117
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Alice |
E990097
|
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: Alice | Statement: [Alice Masaryková, givenName, Alice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alice Context triple: [Alice Masaryková, givenName, Alice]
-
A.
Alice
Alice is the curious young girl who serves as the main protagonist of Disney’s animated film "Alice in Wonderland."
-
B.
Alice
"Alice" is a 2002 studio album by Tom Waits that blends dark cabaret, jazz, and experimental sounds, originally developed as music for a stage play collaboration with Robert Wilson.
-
C.
Alice
Alice is a Direct Memory Access (DMA) controller used in Commodore's Amiga AGA chipset generation to handle high-speed data transfers between memory and peripherals.
-
D.
Alice
Alice is a small town in South Africa’s Eastern Cape province, known as an educational center and for its historical significance in the region.
-
E.
Alice
chosen
Alice is the given first name of the renowned American science fiction and fantasy author Andre Norton.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42de1674c81909ca9e87fa9153640 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675cc70881909cf39b2e229f5d1e |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.