Triple
T19607762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indigo Girls |
E470648
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Three Hits (song) |
—
|
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: Three Hits (song) | Statement: [Indigo Girls, notableWork, Three Hits (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Three Hits (song) Context triple: [Indigo Girls, notableWork, Three Hits (song)]
-
A.
Three Hits
chosen
"Three Hits" is a song by the American folk rock duo Indigo Girls, known for its introspective lyrics and harmonies.
-
B.
The Hits
The Hits is a compilation album featuring popular tracks, including the song "Fireflies" by Owl City.
-
C.
Hits and Misses
Hits and Misses is a humor collection by writer Simon Rich, featuring a series of comedic short stories and sketches.
-
D.
Three Times
Three Times is a 2005 Taiwanese romantic drama film directed by Hou Hsiao-hsien, featuring three love stories across different eras with Chang Chen and Shu Qi in the lead roles.
-
E.
No Hits (Remix)
"No Hits (Remix)" is a reworked version of a song by the Canadian psychedelic rock band Black Mountain, showcasing their heavy, fuzz-driven sound with an updated, experimental twist.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640c8aae8819086337e364724f1cb |
completed | April 20, 2026, 3:05 p.m. |
Created at: April 10, 2026, 1:43 p.m.