Triple
T19566155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zac Farro |
E489587
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Farro |
—
|
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: Farro | Statement: [Zac Farro, familyName, Farro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farro Context triple: [Zac Farro, familyName, Farro]
-
A.
Farro
chosen
Farro is an American guitarist and songwriter best known as a founding member and former lead guitarist of the rock band Paramore.
-
B.
Bulgur
Bulgur is a whole grain food made from cracked, parboiled wheat, commonly used in Middle Eastern and Mediterranean dishes like pilafs, salads, and stuffings.
-
C.
Farino
Farino is a small rural commune in the South Province of New Caledonia, known for its lush forests and eco-tourism activities.
-
D.
Millet
Millet is a group of small-seeded cereal grains widely cultivated for food and fodder, especially in semi-arid regions due to their drought resistance and short growing season.
-
E.
Millet
Millet is a common French surname borne by several notable figures, including artists and sculptors.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f777cf081909312b46ac09bce7c |
completed | April 20, 2026, 3 p.m. |
Created at: April 10, 2026, 1:42 p.m.