Triple
T12627117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone 13 |
E301543
|
entity |
| Predicate | colorOption |
P60
|
FINISHED |
| Object |
Starlight
Starlight is a light, warm-toned neutral finish used by Apple on the iPhone 13, blending elements of silver and soft gold.
|
E993269
|
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: Starlight | Statement: [iPhone 13, colorOption, Starlight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Starlight Context triple: [iPhone 13, colorOption, Starlight]
-
A.
Starlight
Starlight is a fictional character or element associated with the Evolver universe, likely representing a key component or aspect within that setting.
-
B.
Starlight
Starlight was the original name of a long-distance passenger train route that later became known as Amtrak’s Coast Starlight, running along the U.S. West Coast.
-
C.
Starlight
Starlight is a science fiction comic book series written by Mark Millar that follows an aging former space hero called back for one last adventure.
-
D.
Starlight
"Starlight" is a popular song by the English rock band Muse, known for its anthemic chorus and prominent piano-driven melody.
-
E.
Shooting Star
"Shooting Star" is an Overwatch animated short focusing on the mech-piloting hero D.Va, showcasing her backstory and heroism in Busan.
- 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: Starlight Triple: [iPhone 13, colorOption, Starlight]
Generated description
Starlight is a light, warm-toned neutral finish used by Apple on the iPhone 13, blending elements of silver and soft gold.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Starlight Target entity description: Starlight is a light, warm-toned neutral finish used by Apple on the iPhone 13, blending elements of silver and soft gold.
-
A.
Starlight
Starlight is a fictional character or element associated with the Evolver universe, likely representing a key component or aspect within that setting.
-
B.
Starlight
Starlight was the original name of a long-distance passenger train route that later became known as Amtrak’s Coast Starlight, running along the U.S. West Coast.
-
C.
Starlight
Starlight is a science fiction comic book series written by Mark Millar that follows an aging former space hero called back for one last adventure.
-
D.
Starlight
"Starlight" is a popular song by the English rock band Muse, known for its anthemic chorus and prominent piano-driven melody.
-
E.
Shooting Star
"Shooting Star" is an Overwatch animated short focusing on the mech-piloting hero D.Va, showcasing her backstory and heroism in Busan.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610b91dc8190a9abefb88447b0ae |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed8d81c8190baed4292ce3a74a1 |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f661e72c2081909b90d849b0449605 |
completed | May 2, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f662695a348190b9911a19dfc9e779 |
completed | May 2, 2026, 8:45 p.m. |
Created at: April 9, 2026, 5:14 p.m.