Triple
T10718464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teddy Geiger |
E252747
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object | Maroon 5 |
E53774
|
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: Maroon 5 | Statement: [Teddy Geiger, hasCollaboratedWith, Maroon 5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maroon 5 Context triple: [Teddy Geiger, hasCollaboratedWith, Maroon 5]
-
A.
Maroon 5
Maroon 5 is an American pop rock band known for hit songs like "This Love" and "Sugar" and for its widespread mainstream success since the early 2000s.
-
B.
OneRepublic
OneRepublic is an American pop rock band known for melodic, radio-friendly hits like "Apologize" and "Counting Stars," fronted by singer-songwriter and producer Ryan Tedder.
-
C.
Haim
Haim is an American pop-rock band known for its three-sister lineup and catchy, harmony-rich songs blending rock, pop, and R&B influences.
-
D.
5 Seconds of Summer
5 Seconds of Summer is an Australian pop-rock band known for their energetic blend of pop-punk and rock influences and international chart-topping hits.
-
E.
Allen Blue
Allen Blue is an American entrepreneur best known as a co-founder and longtime product and strategy leader at LinkedIn.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff36558c81908682adbe7b5dce05 |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb71dd6f88190beb99ca75914fb09 |
completed | April 12, 2026, 3:15 p.m. |
Created at: April 8, 2026, 9:13 p.m.