Triple
T14653417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leaving Las Vegas |
E344048
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Sera |
E171832
|
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: Sera | Statement: [Leaving Las Vegas, mainCharacter, Sera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sera Context triple: [Leaving Las Vegas, mainCharacter, Sera]
-
A.
Sera
Sera is one of the smaller islands that form part of Indonesia’s remote Tanimbar Islands archipelago in the Maluku province.
-
B.
Sera
chosen
Sera is a given name, often used as a variant of Sara or Sarah in various cultures.
-
C.
Seran
Seran is a historical region or island in the Indonesian archipelago associated with the Majapahit-era oath Sumpah Palapa, reflecting its inclusion in the empire’s envisioned realm.
-
D.
Rovenna
Rovenna is a small village and frazione of the municipality of Cernobbio in the Province of Como, Lombardy, northern Italy.
-
E.
Sithonia
Sithonia is a peninsula in northern Greece known for its scenic beaches, pine-covered landscapes, and quieter, less-developed atmosphere compared to other parts of Halkidiki.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb518f7dc8190877997ea4cd3eed2 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5db85648190b0e5b1c0827fa9f4 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:27 a.m.