Triple
T14487931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domino |
E359284
|
entity |
| Predicate | precedesSingle |
P97
|
FINISHED |
| Object | LaserLight |
E359287
|
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: LaserLight | Statement: [Domino, precedesSingle, LaserLight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LaserLight Context triple: [Domino, precedesSingle, LaserLight]
-
A.
LaserLight
chosen
"LaserLight" is a dance-pop song by English singer Jessie J, known for its energetic beat and uplifting, club-ready chorus.
-
B.
Laser
Laser is the costumed mascot representing Lasell University at its athletic events and campus activities.
-
C.
Laser
Laser is a teenage son in the 2010 film "The Kids Are All Right," whose curiosity about his biological father helps drive the story’s family-centered plot.
-
D.
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.
-
E.
Wonskolaser
Wonskolaser is the original family surname of Harry Warner, one of the co-founding Warner brothers of Warner Bros. Studios.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930bd1d48190abd6c47da0a3ebc8 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a3e32fc8190822aeb633b60af6b |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:20 a.m.