Triple
T21404375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darius Harrison |
E527993
|
entity |
| Predicate | coWrote |
P7732
|
FINISHED |
| Object | Lollipop |
—
|
NE NERFINISHED |
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: Lollipop | Statement: [Darius Harrison, coWrote, Lollipop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lollipop Context triple: [Darius Harrison, coWrote, Lollipop]
-
A.
Lollipop
chosen
"Lollipop" is a 2008 hit hip-hop single by Lil Wayne that became one of his most commercially successful and culturally influential songs.
-
B.
Lollipop
"Lollipop" is a catchy pop song by Mika, known for its playful lyrics and upbeat, cartoonish style.
-
C.
Lollipop
Lollipop is the codename for version 5.0 of the Android mobile operating system, known for introducing the Material Design interface and significant performance improvements.
-
D.
Lolly
Lolly is a diminutive or affectionate nickname commonly used for the given name Laura.
-
E.
Cotton Candy
"Cotton Candy" is a popular jazz album and title track by trumpeter Al Hirt, showcasing his bright, melodic style in the early 1960s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1ade4188190aca09bbbf2c2db87 |
completed | April 22, 2026, 11:31 a.m. |
Created at: April 16, 2026, 5:30 p.m.