Triple
T20935631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Connolly |
E515575
|
entity |
| Predicate | directorOf |
P537
|
FINISHED |
| Object | Dear Eleanor |
—
|
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: Dear Eleanor | Statement: [Kevin Connolly, directorOf, Dear Eleanor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dear Eleanor Context triple: [Kevin Connolly, directorOf, Dear Eleanor]
-
A.
Dear Eleanor
chosen
"Dear Eleanor" is a coming-of-age road trip film set in 1962 that follows two teenage girls traveling across the United States during the Cuban Missile Crisis.
-
B.
Dear Ella
"Dear Ella" is a jazz tribute album by vocalist Dee Dee Bridgewater honoring the music and legacy of Ella Fitzgerald.
-
C.
Dear Nora
Dear Nora is an indie pop/folk project known for its intimate, lo-fi songs and reflective, narrative-driven lyrics.
-
D.
Dear Edward
Dear Edward is a dramatic work by American playwright and screenwriter Halley Feiffer, known for her darkly comic, emotionally incisive storytelling.
-
E.
Dear Marie
"Dear Marie" is a song by John Mayer from his 2012 album "Paradise Valley," reflecting on a youthful romance and the passage of time.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f950d5e081908ec0df4824cf69f7 |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:49 p.m.