Triple
T22406341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naturalis Historia |
E553888
|
entity |
| Predicate | dedicatedTo |
P500
|
FINISHED |
| Object | Titus |
—
|
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: Titus | Statement: [Naturalis Historia, dedicatedTo, Titus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Titus Context triple: [Naturalis Historia, dedicatedTo, Titus]
-
A.
Titus
chosen
Titus was a 1st-century Roman general and later emperor best known for his military campaigns in Judea and his role in the events leading to the fall of Jerusalem.
-
B.
Titus
"Titus" is a 1999 film adaptation of Shakespeare's "Titus Andronicus," directed by Julie Taymor and known for its stylized, brutal portrayal of revenge and power.
-
C.
Titus
Titus is a central character in John Patrick's play "The Curious Savage," known as one of Ethel Savage’s self-interested stepchildren who schemes to control her fortune.
-
D.
Titus
Titus is a common ancient Roman praenomen (given name) frequently used across various families and social classes in Roman society.
-
E.
Titus
Titus is one of the morbidly fated children in Edward Gorey’s darkly comic abecedarian book "The Gashlycrumb Tinies."
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b835e88190a388e19577df771e |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.