Triple
T9646053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KC-10 Extender |
E233196
|
entity |
| Predicate | natoReportingName |
P6062
|
FINISHED |
| Object |
Extender
Extender is the NATO reporting name for the KC-10, a U.S. aerial refueling and transport aircraft derived from the DC-10 airliner.
|
E812173
|
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: Extender | Statement: [KC-10 Extender, natoReportingName, Extender]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Extender Context triple: [KC-10 Extender, natoReportingName, Extender]
-
A.
Extension 765
Extension 765 is a film production company founded by director Steven Soderbergh, known for backing innovative and often independently minded projects.
-
B.
Augments
Augments are genetically enhanced humans in the Star Trek universe, engineered for superior physical and mental abilities but often associated with ambition and conflict.
-
C.
Expa
Expa is a startup studio and venture firm created by entrepreneur Garrett Camp to build and support early-stage technology companies.
-
D.
Eext
Eext is a small village in the Dutch province of Drenthe, known for its rural character and surrounding natural landscapes.
-
E.
Ekster
Ekster is the surname of Alexandra Exter, a prominent Russian-Ukrainian avant-garde painter and stage designer associated with Cubism and Futurism.
- 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: Extender Triple: [KC-10 Extender, natoReportingName, Extender]
Generated description
Extender is the NATO reporting name for the KC-10, a U.S. aerial refueling and transport aircraft derived from the DC-10 airliner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Extender Target entity description: Extender is the NATO reporting name for the KC-10, a U.S. aerial refueling and transport aircraft derived from the DC-10 airliner.
-
A.
Extension 765
Extension 765 is a film production company founded by director Steven Soderbergh, known for backing innovative and often independently minded projects.
-
B.
Augments
Augments are genetically enhanced humans in the Star Trek universe, engineered for superior physical and mental abilities but often associated with ambition and conflict.
-
C.
Expa
Expa is a startup studio and venture firm created by entrepreneur Garrett Camp to build and support early-stage technology companies.
-
D.
Eext
Eext is a small village in the Dutch province of Drenthe, known for its rural character and surrounding natural landscapes.
-
E.
Ekster
Ekster is the surname of Alexandra Exter, a prominent Russian-Ukrainian avant-garde painter and stage designer associated with Cubism and Futurism.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b8122148190bd0af3a04b21e53e |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18258489081909f0b328e223777fc |
completed | April 4, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69d1842a39ac8190a43323c29316df08 |
completed | April 4, 2026, 9:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1849df0a481908777fa263fe8bd10 |
completed | April 4, 2026, 9:37 p.m. |
Created at: March 30, 2026, 8:12 p.m.