Triple
T11597067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Haven't Got a Hat |
E275031
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Norman Spencer
Norman Spencer was an American composer and musical director best known for scoring early Warner Bros. and Merrie Melodies animated shorts.
|
E939936
|
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: Norman Spencer | Statement: [I Haven't Got a Hat, musicBy, Norman Spencer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Spencer Context triple: [I Haven't Got a Hat, musicBy, Norman Spencer]
-
A.
Norman Spencer
Norman Spencer is a film producer best known for his work on the cult classic 1971 road movie "Vanishing Point."
-
B.
Norman Barren
Norman Barren was an American entrepreneur best known as the founder of the off-price department store chain Marshalls.
-
C.
Norman Nicholson
Norman Nicholson was a 20th-century English poet and writer known for his vivid portrayals of industrial and rural life in his native Cumbria.
-
D.
Norman Bevan
Norman Bevan was a sports executive best known for owning the short-lived World Football League team, the San Antonio Wings, in the mid-1970s.
-
E.
Norman Puckle
Norman Puckle is the bumbling yet well-meaning protagonist of the 1935 British comedy film "The Bulldog Breed."
- 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: Norman Spencer Triple: [I Haven't Got a Hat, musicBy, Norman Spencer]
Generated description
Norman Spencer was an American composer and musical director best known for scoring early Warner Bros. and Merrie Melodies animated shorts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Norman Spencer Target entity description: Norman Spencer was an American composer and musical director best known for scoring early Warner Bros. and Merrie Melodies animated shorts.
-
A.
Norman Spencer
Norman Spencer is a film producer best known for his work on the cult classic 1971 road movie "Vanishing Point."
-
B.
Norman Barren
Norman Barren was an American entrepreneur best known as the founder of the off-price department store chain Marshalls.
-
C.
Norman Nicholson
Norman Nicholson was a 20th-century English poet and writer known for his vivid portrayals of industrial and rural life in his native Cumbria.
-
D.
Norman Bevan
Norman Bevan was a sports executive best known for owning the short-lived World Football League team, the San Antonio Wings, in the mid-1970s.
-
E.
Norman Puckle
Norman Puckle is the bumbling yet well-meaning protagonist of the 1935 British comedy film "The Bulldog Breed."
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89549c870819086e16e9110bbad87 |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef131cb534819099f9371c45c717c4 |
completed | April 27, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69ef354b3b3c8190b1c91dbf9c705a7d |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef5170ce9881908f2ecf3d5ada809a |
completed | April 27, 2026, 12:07 p.m. |
Created at: April 8, 2026, 9:38 p.m.