Triple
T4018871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mozilla |
E91230
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Thunderbird |
E131085
|
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: Thunderbird | Statement: [Mozilla, notableWork, Thunderbird]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thunderbird Context triple: [Mozilla, notableWork, Thunderbird]
-
A.
Thunderbird
chosen
Thunderbird is a free, open-source email client developed by Mozilla, known for its extensibility and cross-platform support.
-
B.
Thunderhawk
Thunderhawk is a suspended looping steel roller coaster at Michigan’s Adventure amusement park in Muskegon, Michigan.
-
C.
Raptor
Raptor is SpaceX’s next-generation methane-fueled rocket engine designed to power the company’s Starship launch system with high efficiency and reusability.
-
D.
Raptor
Raptor is the NATO reporting name for the F-22, a fifth-generation American stealth air superiority fighter aircraft.
-
E.
Phénix
Phénix is the French Air and Space Force’s designation for its Airbus A330 MRTT multirole tanker and transport aircraft.
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa984948190a252eaeb9dbae454 |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c7cb0ec8190b7e4646a934ddb07 |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:35 p.m.