Triple
T15493522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivia Octavius |
E378754
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Olivia Octavius |
E378754
|
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: Olivia Octavius | Statement: [Olivia Octavius, fullName, Olivia Octavius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivia Octavius Context triple: [Olivia Octavius, fullName, Olivia Octavius]
-
A.
Olivia Octavius
chosen
Olivia Octavius is a brilliant but sinister scientist and an alternate-universe version of Doctor Octopus who serves as a key antagonist in the Spider-Verse storyline.
-
B.
Livia Stone
Livia Stone is the wife of Biz Stone, the co-founder of Twitter and a prominent American entrepreneur.
-
C.
Livia Orestilla
Livia Orestilla was a Roman noblewoman best known for her brief and scandalous marriage to the emperor Caligula in the 1st century AD.
-
D.
Olivia
Olivia is a musical artist known for her featured performance on the track "Broken Silence."
-
E.
Olivia
Olivia is one of the main characters in the Lego Friends franchise, typically portrayed as a smart, inventive girl who loves science and technology.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fad723481908d2aa33e8f065f2f |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3660fc6c81908caf1729260a8338 |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 3:49 a.m.