Triple
T21437021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moanin' |
E528839
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Along Came Betty
"Along Came Betty" is a classic hard bop jazz composition by Benny Golson, widely known through Art Blakey and the Jazz Messengers’ recordings.
|
E1485073
|
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: Along Came Betty | Statement: [Moanin', hasTrack, Along Came Betty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Along Came Betty Context triple: [Moanin', hasTrack, Along Came Betty]
-
A.
Gilda
Gilda is a classic 1946 American film noir starring Rita Hayworth in one of her most iconic roles.
-
B.
Gilda
Gilda is the witty, free-spirited woman at the center of Noël Coward’s play "Design for Living," entangled in a complex romantic triangle.
-
C.
Gilda
Gilda is the innocent and devoted daughter of the jester in Giuseppe Verdi’s opera "Rigoletto," whose tragic fate drives the drama’s emotional core.
-
D.
Nurse Betty
Nurse Betty is a 2000 dark comedy film about a Kansas waitress who, after a traumatic event, becomes delusionally convinced she is living inside her favorite soap opera.
-
E.
Kill Me, Darling
"Kill Me, Darling" is a hardboiled crime novel in the Mike Hammer detective series created by Mickey Spillane.
- 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: Along Came Betty Triple: [Moanin', hasTrack, Along Came Betty]
Generated description
"Along Came Betty" is a classic hard bop jazz composition by Benny Golson, widely known through Art Blakey and the Jazz Messengers’ recordings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Along Came Betty Target entity description: "Along Came Betty" is a classic hard bop jazz composition by Benny Golson, widely known through Art Blakey and the Jazz Messengers’ recordings.
-
A.
Gilda
Gilda is a classic 1946 American film noir starring Rita Hayworth in one of her most iconic roles.
-
B.
Gilda
Gilda is the witty, free-spirited woman at the center of Noël Coward’s play "Design for Living," entangled in a complex romantic triangle.
-
C.
Gilda
Gilda is the innocent and devoted daughter of the jester in Giuseppe Verdi’s opera "Rigoletto," whose tragic fate drives the drama’s emotional core.
-
D.
Nurse Betty
Nurse Betty is a 2000 dark comedy film about a Kansas waitress who, after a traumatic event, becomes delusionally convinced she is living inside her favorite soap opera.
-
E.
Kill Me, Darling
"Kill Me, Darling" is a hardboiled crime novel in the Mike Hammer detective series created by Mickey Spillane.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813fe2108190a4193f69667fe79e |
completed | April 26, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c8fd41d08190a28e5efa6880b879 |
completed | May 17, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_6a09c97c16c88190ba27f2431fb8d8d3 |
completed | May 17, 2026, 1:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09ca639d74819094f368d15c1e7a1a |
completed | May 17, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:03 p.m.