Triple
T17348310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Down |
E421742
|
entity |
| Predicate | trackListItem |
P30893
|
FINISHED |
| Object | Mistletoe |
—
|
NE ONNED1 |
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: Mistletoe | Statement: [Down, trackListItem, Mistletoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mistletoe Context triple: [Down, trackListItem, Mistletoe]
-
A.
Mistletoe
chosen
"Mistletoe" is a Christmas-themed song, likely in a pop or holiday style, featured on the album *Christmas in the Sand*.
-
B.
Balsam
Balsam is a surname most notably associated with American actor Martin Balsam, known for his prolific film and television career in the mid-20th century.
-
C.
Malva
Malva is a genus of flowering plants commonly known as mallows, characterized by their showy, five-petaled flowers and widespread distribution in temperate regions.
-
D.
Snowbell
Snowbell is the sardonic pet cat in the "Stuart Little" series, known for his humorous love-hate relationship with the mouse protagonist.
-
E.
Honeysuckle
Honeysuckle is a waterfront precinct in Newcastle, New South Wales, known for its dining, entertainment, and proximity to the city’s light rail network.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2a2ee48190976732e654a40053 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01955658b88190bce3fb2b5738afc6 |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.