Triple
T13608883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheers bar |
E325134
|
entity |
| Predicate | employerOfFictional |
P76778
|
FINISHED |
| Object | Rebecca Howe |
E375429
|
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: Rebecca Howe | Statement: [Cheers bar, employerOfFictional, Rebecca Howe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rebecca Howe Context triple: [Cheers bar, employerOfFictional, Rebecca Howe]
-
A.
Rebecca Howe
chosen
Rebecca Howe is a fictional character on the sitcom "Cheers," known as the ambitious and often neurotic bar manager who replaces Diane Chambers.
-
B.
Rebecca Lovell
Rebecca Lovell is an American musician best known as the vocalist and multi-instrumentalist of the roots-rock duo Larkin Poe.
-
C.
Rebecca Lane
Rebecca Lane is a central character in the science fiction horror film "The Last Days on Mars," serving as one of the astronauts confronting a deadly infection on the Martian surface.
-
D.
Rebecca Garland
Rebecca Garland is one of the children of Merrick Garland, the U.S. Attorney General and former federal judge.
-
E.
Rebecca Calhoun
Rebecca Calhoun was the wife of American Revolutionary War general and South Carolina politician Andrew Pickens.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07f462c8190b5b5e115d550037f |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd08852a08190b9983e0c3058671a |
completed | May 7, 2026, 5:48 p.m. |
Created at: April 9, 2026, 9:50 p.m.