Triple
T15698384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South of Pago Pago |
E380524
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Olympe Bradna |
E710119
|
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: Olympe Bradna | Statement: [South of Pago Pago, hasCastMember, Olympe Bradna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olympe Bradna Context triple: [South of Pago Pago, hasCastMember, Olympe Bradna]
-
A.
Corinna
Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
-
B.
Odalie
Odalie is the central protagonist of the work "Odalie Misses Mass," around whom the story’s events and themes revolve.
-
C.
Serafima
Serafima is a feminine given name of Slavic origin, commonly used in Russian-speaking countries.
-
D.
Calonice
Calonice is a prominent female character in Aristophanes’ comedy "Lysistrata," known for her humorous, down-to-earth support of the women’s sex strike against the men’s war.
-
E.
Olympe
chosen
Olympe is a feminine given name of French origin historically borne by notable figures such as Olympe de Gouges and Olympe Mancini.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f6c3328819081325b702ca92862 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7571f1888190b83af75ec9c7432b |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:44 a.m.