Triple
T16678907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Is It Any Wonder? |
E405286
|
entity |
| Predicate | hasBside |
P15273
|
FINISHED |
| Object |
He Used to Be a Lovely Boy
"He Used to Be a Lovely Boy" is a song by British rock band Keane, released as the B-side to their single "Is It Any Wonder?".
|
E1228160
|
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: He Used to Be a Lovely Boy | Statement: [Is It Any Wonder?, hasBside, He Used to Be a Lovely Boy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: He Used to Be a Lovely Boy Context triple: [Is It Any Wonder?, hasBside, He Used to Be a Lovely Boy]
-
A.
This Boy
"This Boy" is a memoir by British politician Alan Johnson that recounts his impoverished childhood in post-war London.
-
B.
Dear Boy
"Dear Boy" is a song by the Indian musician Ram.
-
C.
Lovelier Than You
"Lovelier Than You" is a melodic pop-rap love song by American rapper B.o.B from his debut studio album.
-
D.
Like a Boy
"Like a Boy" is a 2007 R&B single by Ciara that explores gender double standards in relationships through a role-reversal concept and assertive lyrics.
-
E.
You Were Never Lovelier
You Were Never Lovelier is a 1942 Hollywood musical romantic comedy film starring Rita Hayworth and Fred Astaire, known for its elegant dance numbers and charming storyline.
- 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: He Used to Be a Lovely Boy Triple: [Is It Any Wonder?, hasBside, He Used to Be a Lovely Boy]
Generated description
"He Used to Be a Lovely Boy" is a song by British rock band Keane, released as the B-side to their single "Is It Any Wonder?".
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: He Used to Be a Lovely Boy Target entity description: "He Used to Be a Lovely Boy" is a song by British rock band Keane, released as the B-side to their single "Is It Any Wonder?".
-
A.
This Boy
"This Boy" is a memoir by British politician Alan Johnson that recounts his impoverished childhood in post-war London.
-
B.
Dear Boy
"Dear Boy" is a song by the Indian musician Ram.
-
C.
Lovelier Than You
"Lovelier Than You" is a melodic pop-rap love song by American rapper B.o.B from his debut studio album.
-
D.
Like a Boy
"Like a Boy" is a 2007 R&B single by Ciara that explores gender double standards in relationships through a role-reversal concept and assertive lyrics.
-
E.
You Were Never Lovelier
You Were Never Lovelier is a 1942 Hollywood musical romantic comedy film starring Rita Hayworth and Fred Astaire, known for its elegant dance numbers and charming storyline.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6db3488190b56e13ddb69ef8f1 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3e2ddc8190a59108cdf001dac2 |
completed | May 10, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a008b600e5c819084795fee911b0716 |
completed | May 10, 2026, 1:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008bee78248190b920d780bcbd3032 |
completed | May 10, 2026, 1:45 p.m. |
Created at: April 10, 2026, 5:19 a.m.