Triple
T12961433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tito Melema |
E310154
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Romola |
E62672
|
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: Romola | Statement: [Tito Melema, appearsIn, Romola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romola Context triple: [Tito Melema, appearsIn, Romola]
-
A.
Romola
chosen
Romola is a historical novel by George Eliot set in 15th-century Florence, exploring political upheaval, moral conflict, and personal transformation.
-
B.
The Roman Lady
The Roman Lady is a painting by American Romantic artist Washington Allston, exemplifying his refined portrait style and interest in classical themes.
-
C.
Le Romain
Le Romain is the nickname of Pierre Mignard, a prominent 17th-century French painter celebrated for his portraits and religious works.
-
D.
Woman of Rome
Woman of Rome is a 1954 Italian drama film starring Gina Lollobrigida as a young woman navigating love, hardship, and moral compromise in postwar Rome.
-
E.
Via Valeria
Via Valeria was an important ancient Roman road in central Italy that connected Rome with the interior regions, facilitating military movement and trade.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e2f5e448190b56e74602c43358d |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0f4798c8190861638c699e98045 |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 5:44 p.m.