Triple
T14982782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Havilland Comet |
E373620
|
entity |
| Predicate | variant |
P4680
|
FINISHED |
| Object | Comet 4 |
E862138
|
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: Comet 4 | Statement: [de Havilland Comet, variant, Comet 4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Comet 4 Context triple: [de Havilland Comet, variant, Comet 4]
-
A.
Comet 3
Comet 3 was a stretched, long-range development prototype of the de Havilland Comet jet airliner, built to test design improvements and extended capabilities before later production models.
-
B.
Comet 2
Comet 2 was an improved, second-generation version of the de Havilland Comet jet airliner, featuring structural and performance upgrades over the original model.
-
C.
Comet 4C
chosen
Comet 4C was a later variant of the de Havilland Comet, the world’s first commercial jet airliner, used by several airlines in the 1960s for medium- to long-haul passenger services.
-
D.
Comet
Comet is one of Santa Claus’s traditional flying reindeer, often depicted as swift and spirited as he helps pull Santa’s sleigh on Christmas Eve.
-
E.
Comet
Comet is a U.S. digital broadcast television network specializing in science fiction, fantasy, and horror programming.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fe42a081909308f788fdf024d5 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae0652dc8190a90a1c3b07a6ed94 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 2:52 a.m.