Triple
T17776611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ida Marie Honoré Grant |
E443785
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ida |
E1122036
|
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: Ida | Statement: [Ida Marie Honoré Grant, givenName, Ida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ida Context triple: [Ida Marie Honoré Grant, givenName, Ida]
-
A.
Ida
Ida is one of the Ourea, the primordial Greek mountain deities personifying a specific sacred mountain.
-
B.
Ida
Ida is an irregularly shaped asteroid in the main asteroid belt, notable for being visited by NASA’s Galileo spacecraft and for having its own small moon, Dactyl.
-
C.
Ida
Ida is a character from the film "Beauty Shop," contributing to the movie's ensemble of personalities in the lively salon setting.
-
D.
Ida
Ida is the given name of Ida B. Wells, the pioneering African American journalist, civil rights activist, and anti-lynching crusader.
-
E.
Ida
chosen
Ida is a feminine given name of Germanic origin, commonly used in various European countries and the United States.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4871d43a481908aacde69bd8091b0 |
completed | April 19, 2026, 7:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02efc9c0e88190977da0421df6b1a7 |
completed | May 12, 2026, 9:15 a.m. |
Created at: April 10, 2026, 10:12 a.m.