Triple
T9459807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quo Vadis |
E228115
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Lygia |
E576908
|
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: Lygia | Statement: [Quo Vadis, mainCharacter, Lygia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lygia Context triple: [Quo Vadis, mainCharacter, Lygia]
-
A.
Lygia
chosen
Lygia is a feminine given name of Portuguese origin, notably borne by Brazilian artist Lygia Pape.
-
B.
Pylia
Pylia is a figure in Greek mythology known primarily as the mother of Aegeus, the legendary king of Athens and father of Theseus.
-
C.
Corinna
Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
-
D.
Zeleia
Zeleia was an ancient city in the region of Mysia in northwestern Asia Minor, known from classical Greek and Roman historical and geographical sources.
-
E.
Anala
Anala is a lesser-known name or aspect of Agni, the Vedic god of fire in Hindu mythology.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fc916348190aeb3874a89071677 |
completed | April 1, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12ce01b548190a30f6cc7f3084b06 |
completed | April 4, 2026, 3:23 p.m. |
Created at: March 30, 2026, 7:52 p.m.