Triple
T20391989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D. C. Fontana |
E498106
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fontana |
E1296688
|
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: Fontana | Statement: [D. C. Fontana, familyName, Fontana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fontana Context triple: [D. C. Fontana, familyName, Fontana]
-
A.
Fontana
Fontana was a British paperback imprint of HarperCollins known for publishing popular fiction and non-fiction titles in the 20th century.
-
B.
Fontana
Fontana is a small village on the island of Gozo in Malta, known for its traditional character and proximity to Victoria.
-
C.
Fontana
Fontana is a small village on the Greek island of Paxos, known for its traditional architecture and tranquil, rural atmosphere.
-
D.
Fontana
chosen
Fontana is an Italian surname borne by numerous notable figures in fields such as art, architecture, music, and politics.
-
E.
Fontana, California
Fontana, California is a large suburban city in San Bernardino County known for its logistics hubs, industrial centers, and proximity to major Southern California freeways.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e679108b1481909677cf80e8e77e76 |
completed | April 20, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087b155598819080e5034096b4541b |
completed | May 16, 2026, 2:11 p.m. |
Created at: April 16, 2026, 11:28 a.m.