Triple
T7072539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donnie Wahlberg |
E164732
|
entity |
| Predicate | film |
P9968
|
FINISHED |
| Object | Southie |
E164928
|
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: Southie | Statement: [Donnie Wahlberg, film, Southie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southie Context triple: [Donnie Wahlberg, film, Southie]
-
A.
South Boston
chosen
South Boston is a densely populated waterfront neighborhood of Boston, Massachusetts, known for its strong Irish-American heritage and rapidly gentrifying urban landscape.
-
B.
Boystown
Boystown is a prominent LGBTQ+ neighborhood in Chicago known for its vibrant nightlife, community events, and cultural significance.
-
C.
Southside
Southside is a central Edinburgh neighborhood known for its historic tenements, student population, and proximity to the University of Edinburgh.
-
D.
Southside
Southside is a central district in Birmingham, England, known for its entertainment venues, nightlife, and the city’s Chinese Quarter and Gay Village.
-
E.
Southside
Southside is an American record producer and rapper best known for his hard-hitting trap beats and work with artists like Future, Waka Flocka Flame, and Gucci Mane.
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4cb76548190bd98876f8ba925b7 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7945fdafc81909c265373627af4e8 |
completed | March 28, 2026, 8:42 a.m. |
Created at: March 27, 2026, 2:39 p.m.