Triple
T12458528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janet Leahy |
E297723
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Cheers |
E64329
|
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: Cheers | Statement: [Janet Leahy, notableWork, Cheers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheers Context triple: [Janet Leahy, notableWork, Cheers]
-
A.
Cheers
chosen
Cheers is a beloved American sitcom set in a Boston bar, renowned for its witty ensemble cast, character-driven humor, and significant influence on television comedy.
-
B.
Showing Out
"Showing Out" is a track by hip-hop duo Clipse from their 2009 studio album "Til the Casket Drops."
-
C.
Celebrate
"Celebrate" is a song by the rock band Rebel Soul, known for its energetic style and uplifting, anthemic feel.
-
D.
Drink on It
"Drink on It" is a country song by American singer Blake Shelton, featured on his 2011 album "Red River Blue" and released as a successful single.
-
E.
Cheers to the Fall
"Cheers to the Fall" is the critically acclaimed debut studio album by American singer Andra Day, blending retro-soul, jazz, and R&B to showcase her powerful, emotive vocals.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da46a588190bc888fafd6d1eb5d |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f1b0a3081909cf22970586755e9 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.