Triple
T21095635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carole E. Barrowman |
E519758
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Carole E. Barrowman |
—
|
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: Carole E. Barrowman | Statement: [Carole E. Barrowman, name, Carole E. Barrowman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carole E. Barrowman Context triple: [Carole E. Barrowman, name, Carole E. Barrowman]
-
A.
Carole E. Barrowman
chosen
Carole E. Barrowman is a Scottish-American academic, writer, and columnist best known for co-authoring several books with her brother, actor John Barrowman.
-
B.
Barbara M. Rolph
Barbara M. Rolph was the woman who sponsored the U.S. Navy heavy cruiser USS San Francisco (CA-38) at its launching ceremony.
-
C.
Carole Eastman
Carole Eastman was an American screenwriter best known for her incisive character-driven work in 1970s New Hollywood cinema, including the film "Five Easy Pieces."
-
D.
Joan E. Chapman
Joan E. Chapman is a film editor known for her work on the action movie "First Blood."
-
E.
Barbara Carle
Barbara Carle is an Italian-American poet, translator, and scholar known for her bilingual poetry and work on Italian literature.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5845f88190a16f3df157f0906c |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:52 p.m.