Triple
T20624329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panic of Girls |
E506777
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
China Shoes
"China Shoes" is a song by the German rock band Blondie, featured on their album "Panic of Girls."
|
E1441885
|
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: China Shoes | Statement: [Panic of Girls, hasPart, China Shoes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: China Shoes Context triple: [Panic of Girls, hasPart, China Shoes]
-
A.
Shoes
"Shoes" is a 1916 silent drama film starring Mary MacLaren that portrays the struggles of a poor young woman forced to make difficult choices to support her family.
-
B.
Car Shoe
Car Shoe is an Italian luxury footwear brand renowned for its handcrafted driving moccasins and casual shoes, operating under the Prada Group.
-
C.
Italian Shoes
Italian Shoes is a contemplative novel by Henning Mankell about an aging former surgeon living in isolation on a Swedish island who is forced to confront his past when figures from his earlier life unexpectedly reappear.
-
D.
Scarpe
The Scarpe is a river in northern France that flows through the Artois and Nord regions before joining the Scheldt.
-
E.
Sneakers
"Sneakers" is a 1992 comedic heist thriller film about a team of security experts who become entangled in espionage over a powerful code-breaking device.
- 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: China Shoes Triple: [Panic of Girls, hasPart, China Shoes]
Generated description
"China Shoes" is a song by the German rock band Blondie, featured on their album "Panic of Girls."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: China Shoes Target entity description: "China Shoes" is a song by the German rock band Blondie, featured on their album "Panic of Girls."
-
A.
Shoes
"Shoes" is a 1916 silent drama film starring Mary MacLaren that portrays the struggles of a poor young woman forced to make difficult choices to support her family.
-
B.
Car Shoe
Car Shoe is an Italian luxury footwear brand renowned for its handcrafted driving moccasins and casual shoes, operating under the Prada Group.
-
C.
Italian Shoes
Italian Shoes is a contemplative novel by Henning Mankell about an aging former surgeon living in isolation on a Swedish island who is forced to confront his past when figures from his earlier life unexpectedly reappear.
-
D.
Scarpe
The Scarpe is a river in northern France that flows through the Artois and Nord regions before joining the Scheldt.
-
E.
Sneakers
"Sneakers" is a 1992 comedic heist thriller film about a team of security experts who become entangled in espionage over a powerful code-breaking device.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe3d76c8190a8a5cb52bb9bfc2b |
completed | April 20, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08bb1b767881908404c3039f0c2b51 |
completed | May 16, 2026, 6:44 p.m. |
| NEDg | Description generation | batch_6a08bbb570f4819093e23b20fd83d101 |
completed | May 16, 2026, 6:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08bf7d661c8190af9e9b7b4121f951 |
completed | May 16, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:42 a.m.