Triple
T14270355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Club Nouveau |
E353765
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Situation #9
Situation #9 is a song by the American R&B group Club Nouveau, best known for its socially conscious lyrics and distinctive late-1980s production style.
|
E1089385
|
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: Situation #9 | Statement: [Club Nouveau, notableWork, Situation #9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Situation #9 Context triple: [Club Nouveau, notableWork, Situation #9]
-
A.
Session 9
Session 9 is a 2001 psychological horror film set in an abandoned mental asylum, renowned for its slow-building tension, atmospheric dread, and exploration of paranoia and trauma.
-
B.
Line 9
Line 9 is a line of the Mexico City Metro system that serves as one of its key rapid transit routes across the city.
-
C.
Line 9
Line 9 is a rapid transit line of the Guangzhou Metro system serving parts of Guangzhou, China.
-
D.
Line 9
Line 9 is a major Barcelona Metro line designed as a long, partially automated route connecting key suburban and airport areas with the wider metropolitan network.
-
E.
Line 9
Line 9 is a rapid transit route within the STC Metro system, serving as one of its numbered urban rail lines.
- 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: Situation #9 Triple: [Club Nouveau, notableWork, Situation #9]
Generated description
Situation #9 is a song by the American R&B group Club Nouveau, best known for its socially conscious lyrics and distinctive late-1980s production style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Situation #9 Target entity description: Situation #9 is a song by the American R&B group Club Nouveau, best known for its socially conscious lyrics and distinctive late-1980s production style.
-
A.
Session 9
Session 9 is a 2001 psychological horror film set in an abandoned mental asylum, renowned for its slow-building tension, atmospheric dread, and exploration of paranoia and trauma.
-
B.
Line 9
Line 9 is a line of the Mexico City Metro system that serves as one of its key rapid transit routes across the city.
-
C.
Line 9
Line 9 is a rapid transit line of the Guangzhou Metro system serving parts of Guangzhou, China.
-
D.
Line 9
Line 9 is a major Barcelona Metro line designed as a long, partially automated route connecting key suburban and airport areas with the wider metropolitan network.
-
E.
Line 9
Line 9 is a rapid transit route within the STC Metro system, serving as one of its numbered urban rail lines.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de657fe6708190b41de48c43cff647 |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd32682a0481908918570a778e185a |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd3325e8448190960da169f7f9fe40 |
completed | May 8, 2026, 12:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd33fd92608190a0dcaaafe0cfc51a |
completed | May 8, 2026, 12:53 a.m. |
Created at: April 10, 2026, 1:10 a.m.