Triple
T3420919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Camera |
E72112
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object |
Photo Sphere
Photo Sphere is a Google camera mode that lets users capture immersive 360-degree panoramic images by stitching together multiple photos.
|
E357656
|
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: Photo Sphere | Statement: [Google Camera, hasFeature, Photo Sphere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Photo Sphere Context triple: [Google Camera, hasFeature, Photo Sphere]
-
A.
Panorama
Panorama is a prominent sidebar section of the Berlin International Film Festival that showcases innovative, independent, and socially engaged films from around the world.
-
B.
Panorama
Panorama is a long-running BBC television current affairs documentary programme known for its investigative journalism and in-depth reporting on political and social issues.
-
C.
Panorama
Panorama is a notable musical number from the stage musical "The Sleeping Beauty."
-
D.
SPHERE
SPHERE is a high-contrast imaging instrument on the Very Large Telescope designed primarily for directly observing and characterizing exoplanets and circumstellar disks.
-
E.
Periscope
Periscope was a live video streaming mobile app that allowed users to broadcast and watch real-time video from around the world.
- 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: Photo Sphere Triple: [Google Camera, hasFeature, Photo Sphere]
Generated description
Photo Sphere is a Google camera mode that lets users capture immersive 360-degree panoramic images by stitching together multiple photos.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Photo Sphere Target entity description: Photo Sphere is a Google camera mode that lets users capture immersive 360-degree panoramic images by stitching together multiple photos.
-
A.
Panorama
Panorama is a prominent sidebar section of the Berlin International Film Festival that showcases innovative, independent, and socially engaged films from around the world.
-
B.
Panorama
Panorama is a long-running BBC television current affairs documentary programme known for its investigative journalism and in-depth reporting on political and social issues.
-
C.
Panorama
Panorama is a notable musical number from the stage musical "The Sleeping Beauty."
-
D.
SPHERE
SPHERE is a high-contrast imaging instrument on the Very Large Telescope designed primarily for directly observing and characterizing exoplanets and circumstellar disks.
-
E.
Periscope
Periscope was a live video streaming mobile app that allowed users to broadcast and watch real-time video from around the world.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb94eb9e8819087a525df4550914b |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b354701e908190a8a7f14ae578fa5d |
completed | March 13, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69b358c7970881909b20126ba170495d |
completed | March 13, 2026, 12:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b35930c3808190a3d9cbc69a26a1c1 |
completed | March 13, 2026, 12:24 a.m. |
Created at: March 8, 2026, 3:15 p.m.