Triple
T18957321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ina Claire |
E463814
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ina |
—
|
NE NERFINISHED |
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: Ina | Statement: [Ina Claire, givenName, Ina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ina Context triple: [Ina Claire, givenName, Ina]
-
A.
Ina
chosen
Ina is a feminine given name that gained literary prominence through figures such as American poet Ina Coolbrith.
-
B.
Ina (Mother)
Ina (Mother) is the affectionate title given by devotees to Our Lady of Peñafrancia, revered as a loving and protective maternal figure in Filipino Catholic devotion.
-
C.
Ina Balin
Ina Balin was an American actress best known for her work in film and television during the 1950s and 1960s, including a Golden Globe–winning performance in "From the Terrace."
-
D.
Ina Wolf
Ina Wolf is a songwriter best known for co-writing the hit song "Sara" for the rock band Starship.
-
E.
Lidia
Lidia Zamenhof was a Polish Esperantist, translator, and writer, known for promoting Esperanto and translating major literary works into the language.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5cee8348190b6506b10aed6c58a |
completed | April 20, 2026, 7:29 a.m. |
Created at: April 10, 2026, noon