Triple
T21055236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satires |
E518691
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Horace |
—
|
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: Horace | Statement: [Satires, influencedBy, Horace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horace Context triple: [Satires, influencedBy, Horace]
-
A.
Horace
Horace is the original name of Flynn Rider, the charming, roguish thief-turned-hero from Disney’s animated film "Tangled."
-
B.
Horace
chosen
Horace is a masculine given name of Latin origin, historically associated with figures such as the Roman poet Quintus Horatius Flaccus and later borne by notable individuals like the English writer and politician Horace Walpole.
-
C.
Horace
Horace is a recurring character in the animated TV series "Family Guy," known as the longtime bartender and proprietor of the local bar frequented by the main characters.
-
D.
Horace
Horace is a young, naive lover in Molière’s comedy "The School for Wives," whose romantic pursuit inadvertently thwarts the controlling schemes of the older Arnolphe.
-
E.
Horace
Horace is one of Cruella de Vil’s bumbling henchmen in Disney’s 101 Dalmatians, known for his comic incompetence and partnership with Jasper.
- 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd7edb8481908e4dc7573f7fa98f |
completed | April 21, 2026, 4:30 a.m. |
Created at: April 16, 2026, 2:36 p.m.