Triple
T2289557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bionic (album) |
E51470
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Glam
"Glam" is a track from Christina Aguilera's album *Bionic*, known for its fashion-themed lyrics and electro-pop production.
|
E252715
|
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: Glam | Statement: [Bionic (album), hasPart, Glam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glam Context triple: [Bionic (album), hasPart, Glam]
-
A.
Glamorous
"Glamorous" is a 2007 hip hop and R&B song by American singer Fergie featuring Ludacris, known for its catchy chorus and themes of maintaining humility despite wealth and fame.
-
B.
Glamour
Glamour is a popular international women's magazine known for its coverage of fashion, beauty, lifestyle, and celebrity culture.
-
C.
Gay
Gay is a common English surname borne by various notable individuals across fields such as academia, politics, and the arts.
-
D.
Glitter
"Glitter" is an introspective, genre-blending EP by 070 Shake that helped establish her as a distinctive voice in contemporary hip-hop and alternative R&B.
-
E.
Glitter
Glitter is a 2001 musical romantic drama film starring Mariah Carey as an aspiring singer navigating love and the music industry in 1980s New York City.
- 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: Glam Triple: [Bionic (album), hasPart, Glam]
Generated description
"Glam" is a track from Christina Aguilera's album *Bionic*, known for its fashion-themed lyrics and electro-pop production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Glam Target entity description: "Glam" is a track from Christina Aguilera's album *Bionic*, known for its fashion-themed lyrics and electro-pop production.
-
A.
Glamorous
"Glamorous" is a 2007 hip hop and R&B song by American singer Fergie featuring Ludacris, known for its catchy chorus and themes of maintaining humility despite wealth and fame.
-
B.
Glamour
Glamour is a popular international women's magazine known for its coverage of fashion, beauty, lifestyle, and celebrity culture.
-
C.
Gay
Gay is a common English surname borne by various notable individuals across fields such as academia, politics, and the arts.
-
D.
Glitter
Glitter is a 2001 musical romantic drama film starring Mariah Carey as an aspiring singer navigating love and the music industry in 1980s New York City.
-
E.
Glitter
"Glitter" is an introspective, genre-blending EP by 070 Shake that helped establish her as a distinctive voice in contemporary hip-hop and alternative R&B.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc273b67c8190bcd96f9a484647ef |
completed | March 7, 2026, 6:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f1e84ac819096cb62ce5e94d865 |
completed | March 9, 2026, 8:04 a.m. |
| NEDg | Description generation | batch_69ae7fee12ac8190bb9924f7467434a6 |
completed | March 9, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8061cd348190b0b0b65dcf730f99 |
completed | March 9, 2026, 8:10 a.m. |
Created at: March 4, 2026, 7:48 p.m.