Triple
T2704844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imaging Science System |
E59317
|
entity |
| Predicate | capturedImagesOf |
P37258
|
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: [Imaging Science System, capturedImagesOf, Titan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Titan Context triple: [Imaging Science System, capturedImagesOf, Titan]
-
A.
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.
-
B.
Tera
Tera is a West Chadic language spoken primarily in northeastern Nigeria by the Tera people.
-
C.
Hyperion
Hyperion is a romantic travelogue novel by Henry Wadsworth Longfellow that blends fiction, philosophy, and lyrical descriptions of Germany.
-
D.
Hyperion
Hyperion is one of Saturn’s larger, irregularly shaped moons, known for its chaotic rotation and sponge-like, heavily cratered surface.
-
E.
Hyperion
Hyperion is a Titan from Greek mythology associated with heavenly light and often regarded as a primordial god linked to the sun and celestial bodies.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdd1fc30c81909ac06588d50abdf8 |
completed | March 7, 2026, 8:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf79c8648190a9041dd2903a1429 |
completed | March 10, 2026, 5:43 a.m. |
Created at: March 6, 2026, 9:55 p.m.