Triple
T12296660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Bova |
E293103
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Titan |
E6273
|
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: Titan | Statement: [Ben Bova, notableWork, Titan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Titan Context triple: [Ben Bova, notableWork, Titan]
-
A.
Titan
Titan is a family of American expendable rockets originally developed as intercontinental ballistic missiles and later widely used to launch military, scientific, and interplanetary spacecraft.
-
B.
Titan
chosen
Titan is the largest moon of Saturn and one of the most intriguing bodies in the Solar System, known for its dense nitrogen-rich atmosphere and hydrocarbon lakes.
-
C.
Titan
Titan is the athletic mascot representing Lane Community College’s sports teams.
-
D.
Titan
Titan is a massive steel hypercoaster at Six Flags Over Texas known for its towering height, high speeds, and intense G-forces.
-
E.
Titan
Titan is the popular nickname for Gustav Mahler's Symphony No. 1 in D major, a late-Romantic orchestral work known for its expansive structure and vivid orchestration.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93ed903808190b7ed90e0db3d7586 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e7b88d08190a195a294a7fbd168 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.