Triple
T19551535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abacab |
E489207
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Abacab (song) |
E1381152
|
NE FINISHED |
How this triple was built (2 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: Abacab (song) | Statement: [Abacab, notableSingle, Abacab (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abacab (song) Context triple: [Abacab, notableSingle, Abacab (song)]
-
A.
Abacab (song)
chosen
"Abacab" is a 1981 song by the English rock band Genesis, known for its synth-driven sound and role in marking the group's transition toward a more pop-oriented style.
-
B.
The Universal Song
The Universal Song is a track by the band Cafe Racers, likely reflecting their signature style within their musical catalog.
-
C.
Song for Chesh
"Song for Chesh" is a track by British DJ and producer Fatboy Slim from his 2004 album "Palookaville," blending his signature big beat style with a more laid-back, melodic groove.
-
D.
A Song
"A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
-
E.
The Apl Song
"The Apl Song" is a track by the Black Eyed Peas that reflects member apl.de.ap’s Filipino heritage and personal story, blending hip hop with cultural and autobiographical themes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d30a1d8819084d1bc60a5e49cae |
completed | April 20, 2026, 2:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07577a33e08190865ce6f96070ea4f |
completed | May 15, 2026, 5:27 p.m. |
Created at: April 10, 2026, 1:41 p.m.