Triple
T18006429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBC Sports Boston |
E430759
|
entity |
| Predicate | hasProgram |
P178
|
FINISHED |
| Object | Arbella Early Edition |
—
|
NE NERFINISHED |
How this triple was built (3 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: Arbella Early Edition | Statement: [NBC Sports Boston, hasProgram, Arbella Early Edition]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arbella Early Edition Context triple: [NBC Sports Boston, hasProgram, Arbella Early Edition]
-
A.
Ward of Candlewick
The Ward of Candlewick is a historic administrative district in the City of London, centered around Cannon Street and known for its financial and commercial activity.
-
B.
Mother of the Book
Mother of the Book is an honorific title in Islamic tradition for Surah Al-Fatiha, the opening chapter of the Qur’an regarded as its essential core and summary.
-
C.
The Little Sister
The Little Sister is a 1949 hardboiled detective novel by Raymond Chandler featuring private investigator Philip Marlowe in a complex case involving Hollywood corruption and deception.
-
D.
Jenny of Oldstones
"Jenny of Oldstones" is a haunting, melancholic song from the Game of Thrones universe, associated with the tragic character Jenny and popularized in the television series' eighth season.
-
E.
The Red Mill
The Red Mill is a 1906 Broadway comic operetta with music by Victor Herbert that became one of his most popular and frequently revived stage works.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arbella Early Edition Target entity description: Arbella Early Edition is a regional sports news and analysis show on NBC Sports Boston that provides early-day coverage and discussion of New England sports.
-
A.
Ward of Candlewick
The Ward of Candlewick is a historic administrative district in the City of London, centered around Cannon Street and known for its financial and commercial activity.
-
B.
Mother of the Book
Mother of the Book is an honorific title in Islamic tradition for Surah Al-Fatiha, the opening chapter of the Qur’an regarded as its essential core and summary.
-
C.
The Little Sister
The Little Sister is a 1949 hardboiled detective novel by Raymond Chandler featuring private investigator Philip Marlowe in a complex case involving Hollywood corruption and deception.
-
D.
Jenny of Oldstones
"Jenny of Oldstones" is a haunting, melancholic song from the Game of Thrones universe, associated with the tragic character Jenny and popularized in the television series' eighth season.
-
E.
The Red Mill
The Red Mill is a 1906 Broadway comic operetta with music by Victor Herbert that became one of his most popular and frequently revived stage works.
- F. None of above. chosen
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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b51c7da48190ab70775a672e2d5f |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.