Triple
T18149108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hello, I Must Be Going! |
E434459
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
The West Side
The West Side is a musical number from the 1983 film "Hello, I Must Be Going!" featuring songs by Groucho Marx.
|
E1307451
|
NE FINISHED |
How this triple was built (4 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: The West Side | Statement: [Hello, I Must Be Going!, hasPart, The West Side]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The West Side Context triple: [Hello, I Must Be Going!, hasPart, The West Side]
-
A.
West Side
West Side is a primarily residential neighborhood in Jersey City, New Jersey, known for its diverse community and proximity to Lincoln Park.
-
B.
West Side
West Side is a large, historically significant region of Chicago known for its diverse neighborhoods and strong cultural and community identity.
-
C.
West Side
West Side is a residential and commercial district of the city of Saint John, New Brunswick, located across the harbor from its historic uptown core.
-
D.
West Side
West Side is a residential neighborhood in Bridgeport, Connecticut, known for its urban character and diverse community.
-
E.
West Side
West Side is an entertainment-focused district within Disney Springs featuring restaurants, shops, and attractions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The West Side Triple: [Hello, I Must Be Going!, hasPart, The West Side]
Generated description
The West Side is a musical number from the 1983 film "Hello, I Must Be Going!" featuring songs by Groucho Marx.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The West Side Target entity description: The West Side is a musical number from the 1983 film "Hello, I Must Be Going!" featuring songs by Groucho Marx.
-
A.
West Side
West Side is a primarily residential neighborhood in Jersey City, New Jersey, known for its diverse community and proximity to Lincoln Park.
-
B.
West Side
West Side is a large, historically significant region of Chicago known for its diverse neighborhoods and strong cultural and community identity.
-
C.
West Side
West Side is a residential and commercial district of the city of Saint John, New Brunswick, located across the harbor from its historic uptown core.
-
D.
West Side
West Side is a residential neighborhood in Bridgeport, Connecticut, known for its urban character and diverse community.
-
E.
West Side
West Side is the western portion of the borough of Manhattan in New York City, known for neighborhoods like Chelsea, Hell’s Kitchen, and the Upper West Side along the Hudson River.
- F. None of above. chosen
Provenance (5 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de372e8081908b52fe33c870716e |
completed | April 19, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0385582bd8819092cf077945fb2b35 |
completed | May 12, 2026, 7:54 p.m. |
| NEDg | Description generation | batch_6a03861898948190b3ada048d9ea274c |
completed | May 12, 2026, 7:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0386bb53b88190b5cc7e747a9da903 |
completed | May 12, 2026, 7:59 p.m. |
Created at: April 10, 2026, 10:29 a.m.