Triple
T15509842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christina Milian |
E368675
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | AM to PM |
E1160536
|
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: AM to PM | Statement: [Christina Milian, single, AM to PM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AM to PM Context triple: [Christina Milian, single, AM to PM]
-
A.
AM to PM
chosen
"AM to PM" is a 2001 R&B-pop single by Christina Milian that became her breakout hit and introduced her to international audiences.
-
B.
AM
AM is a critically acclaimed 2013 studio album by English rock band Arctic Monkeys, known for its sleek blend of indie rock, R&B, and hip-hop influences.
-
C.
AM
AM is a radio broadcasting band used for transmitting audio signals via amplitude modulation, commonly for talk radio and news stations.
-
D.
AM
AM is the standard scholarly abbreviation for "Athenische Mitteilungen," a prominent German archaeological journal focused on research related to ancient Greece.
-
E.
AM
AM is the two-letter IATA airline designator used to identify Aeroméxico in global aviation systems.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03fd008708190a3657863eb9ac626 |
completed | April 16, 2026, 1:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d4cf35c8190aa8d2db6dd744c3f |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 3:55 a.m.