Triple
T16473778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernice Bobs Her Hair |
E400132
|
entity |
| Predicate | titleCharacter |
P9202
|
FINISHED |
| Object | Bernice |
E1216567
|
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: [Bernice Bobs Her Hair, titleCharacter, Bernice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernice Context triple: [Bernice Bobs Her Hair, titleCharacter, Bernice]
-
A.
Bernice
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
chosen
Bernice is the shy young woman who undergoes a dramatic social and personal transformation in F. Scott Fitzgerald’s short story “Bernice Bobs Her Hair.”
-
C.
Bernice Fish
Bernice Fish is a fictional character from the television series "Barney Miller" and its spin-off "Fish," known as the strong-willed wife of Detective Phil Fish.
-
D.
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.
-
E.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dd32e048190a9eadd32d6b9374c |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007d9e91f48190b83cefdd2b518082 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:11 a.m.