Triple
T15595815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martika |
E374887
|
entity |
| Predicate | hitSingle |
P5044
|
FINISHED |
| Object | Toy Soldiers |
E1167151
|
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: Toy Soldiers | Statement: [Martika, hitSingle, Toy Soldiers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toy Soldiers Context triple: [Martika, hitSingle, Toy Soldiers]
-
A.
Toy Soldiers
"Toy Soldiers" is a 1991 action thriller film about prep school students who fight back against terrorists who have taken their school hostage.
-
B.
Toy Soldiers
chosen
"Toy Soldiers" is a 1989 pop ballad by American singer Martika, best known for its haunting melody and lyrics about the struggles of addiction.
-
C.
Toy Soldier
"Toy Soldier" is a creative work associated with Sean Garrett, likely a song or musical project showcasing his R&B/pop songwriting and production style.
-
D.
Small Soldiers
Small Soldiers is a 1998 science fiction action-comedy film about sentient toy soldiers that come to life and wage war in a suburban neighborhood.
-
E.
The Toy Soldier
The Toy Soldier is a themed retail shop in the United Kingdom Pavilion at EPCOT, known for selling British- and Disney-inspired toys and souvenirs.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e5f9db8819083abf80f01f32b3d |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f355ff48190a2c2c262c09e6de0 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:12 a.m.