Triple
T5147675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Squirtgun |
E116113
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Squirtgun (album) |
E116113
|
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: Squirtgun (album) | Statement: [Squirtgun, notableWork, Squirtgun (album)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Squirtgun (album) Context triple: [Squirtgun, notableWork, Squirtgun (album)]
-
A.
Squirt
Squirt is a playful young sea turtle from Disney-Pixar's "Finding Nemo," known for his energetic personality and close bond with his father, Crush.
-
B.
Squirtgun
chosen
Squirtgun is an American punk rock band known for its melodic sound and connections to the 1990s pop-punk scene.
-
C.
Throw Your Guns
"Throw Your Guns" is a song by the hip hop duo The Firm, featured on their collaborative album "The Firm: The Album."
-
D.
Sucker
Sucker is a 2015 Australian comedy film about a teenage conman who becomes entangled with a charismatic swindler and his enigmatic daughter.
-
E.
Sucker
"Sucker" is a 2019 upbeat pop single by the Jonas Brothers that marked their high-profile comeback and became a chart-topping hit.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78b17028819080568715df8c13eb |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becffa6a2881908f4b1ef85bdcce30 |
completed | March 21, 2026, 5:06 p.m. |
Created at: March 20, 2026, 1:43 p.m.