Triple
T3154102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lupe Fiasco |
E65943
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Lasers
Lasers is Lupe Fiasco’s third studio album, known for its politically charged lyrics, pop-oriented production, and contentious relationship with both his label and core fanbase.
|
E331456
|
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: Lasers | Statement: [Lupe Fiasco, notableWork, Lasers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lasers Context triple: [Lupe Fiasco, notableWork, Lasers]
-
A.
Laser
Laser is the costumed mascot representing Lasell University at its athletic events and campus activities.
-
B.
Wonskolaser
Wonskolaser is the original family surname of Harry Warner, one of the co-founding Warner brothers of Warner Bros. Studios.
-
C.
Maser
Maser is a small town in the Veneto region of northern Italy, noted for its Renaissance architecture and association with the architect Andrea Palladio.
-
D.
Spektr
Spektr was a Russian-built science module of the Mir space station, primarily used for Earth observation and housing U.S. research equipment during the Shuttle–Mir program.
-
E.
Turbostar
Turbostar is a family of modern British diesel multiple-unit trains widely used for regional and commuter services across the UK rail network.
- 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: Lasers Triple: [Lupe Fiasco, notableWork, Lasers]
Generated description
Lasers is Lupe Fiasco’s third studio album, known for its politically charged lyrics, pop-oriented production, and contentious relationship with both his label and core fanbase.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lasers Target entity description: Lasers is Lupe Fiasco’s third studio album, known for its politically charged lyrics, pop-oriented production, and contentious relationship with both his label and core fanbase.
-
A.
Laser
Laser is the costumed mascot representing Lasell University at its athletic events and campus activities.
-
B.
Wonskolaser
Wonskolaser is the original family surname of Harry Warner, one of the co-founding Warner brothers of Warner Bros. Studios.
-
C.
Maser
Maser is a small town in the Veneto region of northern Italy, noted for its Renaissance architecture and association with the architect Andrea Palladio.
-
D.
Spektr
Spektr was a Russian-built science module of the Mir space station, primarily used for Earth observation and housing U.S. research equipment during the Shuttle–Mir program.
-
E.
Turbostar
Turbostar is a family of modern British diesel multiple-unit trains widely used for regional and commuter services across the UK rail network.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5e7f4688190b477186254f8a572 |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b22503ba208190814ab2bfbe380c42 |
completed | March 12, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69b225ee67c48190879edf50981641ab |
completed | March 12, 2026, 2:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b22659f79c81908f33769dff3cc57d |
completed | March 12, 2026, 2:35 a.m. |
Created at: March 8, 2026, 3:05 p.m.