Triple
T22708703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anchor Drops |
E561532
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Plunger
"Plunger" is a song by the band Anchor Drops, likely featuring their characteristic rock sound and thematic style.
|
E1550044
|
NE FINISHED |
How this triple was built (4 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: Plunger | Statement: [Anchor Drops, hasTrack, Plunger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plunger Context triple: [Anchor Drops, hasTrack, Plunger]
-
A.
Pineapple Plunger
Pineapple Plunger is one of the themed water coaster slides within the Crush ’n’ Gusher attraction at Disney’s Typhoon Lagoon water park.
-
B.
Putkaste
Putkaste is a small village located on the island of Hiiumaa in western Estonia.
-
C.
Jug
"Jug" is the widely used nickname for the Republic P-47 Thunderbolt, a rugged and heavily armed American World War II fighter-bomber aircraft.
-
D.
Corkscrew
Corkscrew is a steel roller coaster at Valleyfair amusement park known for its inversions and classic looping design.
-
E.
Corkscrew
Corkscrew is a steel roller coaster at Michigan’s Adventure known for its signature double-inversion corkscrew elements.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Plunger Triple: [Anchor Drops, hasTrack, Plunger]
Generated description
"Plunger" is a song by the band Anchor Drops, likely featuring their characteristic rock sound and thematic style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Plunger Target entity description: "Plunger" is a song by the band Anchor Drops, likely featuring their characteristic rock sound and thematic style.
-
A.
Pineapple Plunger
Pineapple Plunger is one of the themed water coaster slides within the Crush ’n’ Gusher attraction at Disney’s Typhoon Lagoon water park.
-
B.
Putkaste
Putkaste is a small village located on the island of Hiiumaa in western Estonia.
-
C.
Jug
"Jug" is the widely used nickname for the Republic P-47 Thunderbolt, a rugged and heavily armed American World War II fighter-bomber aircraft.
-
D.
Corkscrew
Corkscrew is a steel roller coaster at Valleyfair amusement park known for its inversions and classic looping design.
-
E.
Corkscrew
Corkscrew is a steel roller coaster at Michigan’s Adventure known for its signature double-inversion corkscrew elements.
- F. None of above. chosen
Provenance (5 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178d11d4081909981872698b6c45e |
completed | April 29, 2026, 3:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b7ed7caf0819081af40605cf42f1c |
completed | May 18, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_6a0b7f6082e88190bdc94bf4af870fba |
completed | May 18, 2026, 9:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b7fde67fc8190b51edc5c3dac629b |
completed | May 18, 2026, 9:08 p.m. |
Created at: April 17, 2026, 3:17 p.m.