Triple
T20939500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingrid Betancourt |
E515678
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Íngrid |
—
|
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: Íngrid | Statement: [Ingrid Betancourt, givenName, Íngrid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Íngrid Context triple: [Ingrid Betancourt, givenName, Íngrid]
-
A.
Ingrid
chosen
Ingrid is a feminine given name of Scandinavian origin that has been borne by several notable figures, including the Swedish actress Ingrid Bergman.
-
B.
Ingeborg
Ingeborg is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
C.
Ingrid Rolin
Ingrid Rolin was the wife of prominent American television newscaster Chet Huntley.
-
D.
Ingrid Gude
Ingrid Gude is an alternative or lesser-known name associated with the British-Polish actress and horror icon Ingrid Pitt.
-
E.
INGRID
INGRID is a near detector of the T2K long-baseline neutrino experiment, designed to monitor the neutrino beam’s direction and intensity.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f954e44481909098a0b23a687d5e |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:50 p.m.