Triple
T29661950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulliola |
E750433
|
entity |
| Predicate | literaryPortrayal |
P15535
|
FINISHED |
| Object | symbol of filial affection in Roman literature |
—
|
LITERAL 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: symbol of filial affection in Roman literature | Statement: [Tulliola, literaryPortrayal, symbol of filial affection in Roman literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literaryPortrayal Context triple: [Tulliola, literaryPortrayal, symbol of filial affection in Roman literature]
-
A.
literaryFeature
Indicates a relationship where something possesses or exhibits a characteristic, device, or stylistic element used in literature.
-
B.
literarySubject
Indicates that one entity serves as the subject, topic, or focus of a literary work created by another entity.
-
C.
literaryRole
chosen
Indicates the specific narrative or functional role an entity holds within a literary work or text.
-
D.
literaryUse
Indicates that something is employed or referenced within a literary context, such as in a written work, style, or technique.
-
E.
literaryScript
Indicates a relationship where an entity serves as the written text or script of a literary work, such as a play, film, or other narrative production.
- F. None of above.
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_69f0d62418a08190a401b127adf9f8a6 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: April 28, 2026, 6:59 p.m.