Triple
T12627116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone 13 |
E301543
|
entity |
| Predicate | colorOption |
P60
|
FINISHED |
| Object |
Midnight
Midnight is a dark, subtly bluish-black color finish used by Apple on devices like the iPhone 13.
|
E993268
|
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: Midnight | Statement: [iPhone 13, colorOption, Midnight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midnight Context triple: [iPhone 13, colorOption, Midnight]
-
A.
Midnight
"Midnight" is a 1939 screwball comedy film, co-written by Billy Wilder, about a penniless American chorus girl who becomes entangled in high-society schemes in Paris.
-
B.
Midnight
Midnight is a popular late-night section of the Sundance Film Festival that showcases edgy, genre-driven, and boundary-pushing films.
-
C.
Midnight
Midnight is a South Korean thriller film starring Wi Ha-joon, centered on a tense cat-and-mouse chase between a serial killer and a deaf woman who witnesses his crime.
-
D.
Midnight
"Midnight" is a song featured on the album "Ghost Stories" by the British rock band Coldplay.
-
E.
Midnight
"Midnight" is a bestselling horror-thriller novel by Dean Koontz that blends science fiction and suspense in a story about a coastal town transformed by a sinister genetic experiment.
- 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: Midnight Triple: [iPhone 13, colorOption, Midnight]
Generated description
Midnight is a dark, subtly bluish-black color finish used by Apple on devices like the iPhone 13.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Midnight Target entity description: Midnight is a dark, subtly bluish-black color finish used by Apple on devices like the iPhone 13.
-
A.
Midnight
"Midnight" is a 1939 screwball comedy film, co-written by Billy Wilder, about a penniless American chorus girl who becomes entangled in high-society schemes in Paris.
-
B.
Midnight
Midnight is a popular late-night section of the Sundance Film Festival that showcases edgy, genre-driven, and boundary-pushing films.
-
C.
Midnight
Midnight is a South Korean thriller film starring Wi Ha-joon, centered on a tense cat-and-mouse chase between a serial killer and a deaf woman who witnesses his crime.
-
D.
Midnight
"Midnight" is a bestselling horror-thriller novel by Dean Koontz that blends science fiction and suspense in a story about a coastal town transformed by a sinister genetic experiment.
-
E.
Midnight
"Midnight" is a song featured on the album "Ghost Stories" by the British rock band Coldplay.
- 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.