Triple
T1864825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Eleven |
E34895
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Stargate |
E69747
|
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: Stargate | Statement: [Two Eleven, producer, Stargate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stargate Context triple: [Two Eleven, producer, Stargate]
-
A.
Stargate
chosen
Stargate is a Norwegian record-producing and songwriting duo known for crafting numerous international pop and R&B hits for major artists.
-
B.
Stargate Atlantis
Stargate Atlantis is a science fiction television series set in the Stargate universe, following an international team exploring the lost city of Atlantis in the distant Pegasus Galaxy.
-
C.
Dark Star
"Dark Star" is an iconic, improvisation-heavy psychedelic rock song by the Grateful Dead that became a centerpiece of their live performances.
-
D.
Le Shuttle
Le Shuttle is a vehicle-carrying rail service that transports cars, trucks, and passengers through the Channel Tunnel between the United Kingdom and France.
-
E.
Mission: SPACE
Mission: SPACE is a spaceflight-simulation attraction at EPCOT that immerses guests in a realistic, high-intensity mission to Mars experience.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb0a0b4b881908b07c07db624701d |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1d540c0819099558507bdf2ffa4 |
completed | March 8, 2026, 7:45 p.m. |
Created at: March 4, 2026, 7:34 p.m.