Triple
T13733391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love. Angel. Music. Baby. |
E329866
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Crash
"Crash" is a track from Gwen Stefani's debut solo album "Love. Angel. Music. Baby." that blends pop and hip-hop influences with playful, flirtatious lyrics.
|
E1060214
|
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: Crash | Statement: [Love. Angel. Music. Baby., notableSong, Crash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crash Context triple: [Love. Angel. Music. Baby., notableSong, Crash]
-
A.
Crash
Crash is a 1986 synth-pop album by British band The Human League, best known for featuring the hit single "Human" and marking a more polished, R&B-influenced sound for the group.
-
B.
Crash
Crash is a song featured on the album "Hard II Love" by American R&B singer Usher.
-
C.
Crash
Crash is a 2004 ensemble drama film exploring racial and social tensions in Los Angeles through intersecting storylines.
-
D.
Crash
Crash is a hyperactive opossum character from the Ice Age animated film series, known for his comic antics alongside his twin brother Eddie.
-
E.
Crash
Crash is a controversial 1973 novel by J. G. Ballard that explores the eroticization of car crashes and the dark intersections of technology, violence, and desire.
- 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: Crash Triple: [Love. Angel. Music. Baby., notableSong, Crash]
Generated description
"Crash" is a track from Gwen Stefani's debut solo album "Love. Angel. Music. Baby." that blends pop and hip-hop influences with playful, flirtatious lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crash Target entity description: "Crash" is a track from Gwen Stefani's debut solo album "Love. Angel. Music. Baby." that blends pop and hip-hop influences with playful, flirtatious lyrics.
-
A.
Crash
"Crash" is a song by David Byrne featured on his self-titled 1994 album, blending art rock and alternative influences characteristic of his solo work.
-
B.
Crash
Crash is a song featured on the album "Hard II Love" by American R&B singer Usher.
-
C.
Crash
Crash is a 1986 synth-pop album by British band The Human League, best known for featuring the hit single "Human" and marking a more polished, R&B-influenced sound for the group.
-
D.
Crash
Crash is a 2004 ensemble drama film exploring racial and social tensions in Los Angeles through intersecting storylines.
-
E.
Crash
Crash is a controversial 1973 novel by J. G. Ballard that explores the eroticization of car crashes and the dark intersections of technology, violence, and desire.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0201d3c48190aa306be231a28bc1 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a84dbdc48190a4724bb9c3523b25 |
completed | May 3, 2026, 7:55 p.m. |
| NEDg | Description generation | batch_69f7a91deb3c8190ad2be7f1ca99ac9b |
completed | May 3, 2026, 7:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ad51c6808190afa80fc3622399bf |
completed | May 3, 2026, 8:17 p.m. |
Created at: April 9, 2026, 9:55 p.m.