Triple
T13121498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilario |
E311731
|
entity |
| Predicate | hasEtymologicalOrigin |
P506
|
FINISHED |
| Object | Hilaris |
E249774
|
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: Hilaris | Statement: [Ilario, hasEtymologicalOrigin, Hilaris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hilaris Context triple: [Ilario, hasEtymologicalOrigin, Hilaris]
-
A.
Momus
Momus is a Scottish singer-songwriter and producer known for his literate, often satirical indie pop and prolific solo career since the 1980s.
-
B.
Momus
chosen
Momus is the Greek god of satire, mockery, and blame, known for criticizing both gods and mortals.
-
C.
Eudicus
Eudicus is a minor interlocutor in Plato’s dialogue "Hippias Major," participating in the philosophical discussion on the nature of beauty.
-
D.
Pharcellus
Pharcellus is the distinctive middle name of Francis Pharcellus Church, the American editor and writer best known for his famous 1897 editorial "Yes, Virginia, there is a Santa Claus."
-
E.
Hogatha
Hogatha is a recurring witch antagonist in The Smurfs animated series, known for her bumbling magic and schemes against the Smurfs.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819840b881909b76022b4c4dcaed |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e286de608190bf46af2eb656bb79 |
completed | May 3, 2026, 5:52 a.m. |
Created at: April 9, 2026, 9:06 p.m.