Triple
T13820870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berenice (daughter of Costobarus and Salome) |
E332129
|
entity |
| Predicate | nameVariant |
P744
|
FINISHED |
| Object | Bernice |
E79581
|
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: Bernice | Statement: [Berenice (daughter of Costobarus and Salome), nameVariant, Bernice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernice Context triple: [Berenice (daughter of Costobarus and Salome), nameVariant, Bernice]
-
A.
Bernice
chosen
Bernice is a feminine given name most notably borne by Bernice King, the daughter of civil rights leaders Martin Luther King Jr. and Coretta Scott King.
-
B.
Bernice Steadman
Bernice Steadman was an American aviator and one of the Mercury 13 women who underwent astronaut training in the early U.S. space program.
-
C.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
D.
Barbara
Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
-
E.
Bernice Bourne
Bernice Bourne is an individual known primarily for being among the notable people interred at Flushing Cemetery in Queens, New York.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0282d4d08190b754cda7683408c4 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0e966c48190abe109d44300014a |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 10:12 p.m.