Triple
T15955386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teodora Lazarević |
E386920
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Teodora |
E925887
|
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: Teodora | Statement: [Teodora Lazarević, givenName, Teodora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teodora Context triple: [Teodora Lazarević, givenName, Teodora]
-
A.
Teodora
chosen
Teodora is a feminine given name commonly used in various languages, derived from the Greek name Theodora meaning "gift of God."
-
B.
Elisabeta
Elisabeta is a given name used in various European languages, corresponding to the English name Elizabeth.
-
C.
Lucija
Lucija is a coastal settlement and suburb of Piran in southwestern Slovenia, known as a residential and tourist area near the Adriatic Sea.
-
D.
Théodora
Théodora is a famous 1884 historical drama by Victorien Sardou, best known today as one of the signature stage roles of legendary French actress Sarah Bernhardt.
-
E.
Théodora
Théodora is the given name of Dora Maar, the French photographer and painter closely associated with Pablo Picasso and the Surrealist movement.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156f94b108190905d295c3405860e |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3c1b49c819087e5a088d41963ec |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.