Triple
T9329685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry Moore |
E224483
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bernardine |
E495729
|
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: Bernardine | Statement: [Terry Moore, notableWork, Bernardine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernardine Context triple: [Terry Moore, notableWork, Bernardine]
-
A.
Bernardine
chosen
Bernardine is a 1957 musical comedy film starring Pat Boone in one of his early leading screen roles.
-
B.
Christa
Christa was the first name of Christa McAuliffe, the American teacher and astronaut selected as the first private citizen to fly in space.
-
C.
Benedetta
Benedetta is an Italian feminine given name, equivalent to "Benedicta" and commonly used in Italy and other Italian-speaking communities.
-
D.
Anne Hilarion
Anne Hilarion was a French naval officer and admiral of the late 17th and early 18th centuries, renowned for his leadership in major battles of the Nine Years' War and the War of the Spanish Succession.
-
E.
Bernadette
Bernadette is a fictional microbiologist and Howard Wolowitz’s wife on the television sitcom "The Big Bang Theory."
- 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37acbc04819092a67d7f392c74cd |
completed | April 1, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7fca954819086f695be973b227e |
completed | April 4, 2026, 8:12 a.m. |
Created at: March 30, 2026, 7:39 p.m.