Triple
T9044092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gracie Fields |
E216711
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sing As We Go
Sing As We Go is a 1934 British musical comedy film starring Gracie Fields as a spirited mill worker facing unemployment in industrial northern England.
|
E775389
|
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: Sing As We Go | Statement: [Gracie Fields, notableWork, Sing As We Go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sing As We Go Context triple: [Gracie Fields, notableWork, Sing As We Go]
-
A.
As We Go
As We Go is a collection of essays by American writer and editor Charles Dudley Warner, reflecting his observations on everyday life and society in the late 19th century.
-
B.
The Song We Were Singing
"The Song We Were Singing" is a reflective, nostalgia-tinged track by Paul McCartney from his 1997 album "Flaming Pie."
-
C.
Yonder We Go
"Yonder We Go" is a track from the folk album *Harrow Songs* by English singer-songwriter and guitarist James Yorkston.
-
D.
Sing It
"Sing It" is a 2012 pop single by American singer Rebecca Black that marked a more mature follow-up to her viral debut "Friday."
-
E.
Our Song
"Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
- 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: Sing As We Go Triple: [Gracie Fields, notableWork, Sing As We Go]
Generated description
Sing As We Go is a 1934 British musical comedy film starring Gracie Fields as a spirited mill worker facing unemployment in industrial northern England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sing As We Go Target entity description: Sing As We Go is a 1934 British musical comedy film starring Gracie Fields as a spirited mill worker facing unemployment in industrial northern England.
-
A.
As We Go
As We Go is a collection of essays by American writer and editor Charles Dudley Warner, reflecting his observations on everyday life and society in the late 19th century.
-
B.
The Song We Were Singing
"The Song We Were Singing" is a reflective, nostalgia-tinged track by Paul McCartney from his 1997 album "Flaming Pie."
-
C.
Yonder We Go
"Yonder We Go" is a track from the folk album *Harrow Songs* by English singer-songwriter and guitarist James Yorkston.
-
D.
Sing It
"Sing It" is a 2012 pop single by American singer Rebecca Black that marked a more mature follow-up to her viral debut "Friday."
-
E.
Our Song
"Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
- 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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b137cec8190bd1b812c10d9542a |
completed | April 1, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeba4c5f48190b7fc85f2137dd93e |
completed | April 3, 2026, 4:32 p.m. |
| NEDg | Description generation | batch_69cfecf7fce08190a9b80044a2ae9745 |
completed | April 3, 2026, 4:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cff0ea8c388190bd95233db9c69038 |
completed | April 3, 2026, 4:55 p.m. |
Created at: March 30, 2026, 7:09 p.m.