Triple
T22257168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friendly Fires |
E550122
|
entity |
| Predicate | hasEP |
P22078
|
FINISHED |
| Object |
Photobooth
"Photobooth" is an EP by the British indie band Friendly Fires, showcasing their danceable, synth-driven indie rock sound.
|
E1527037
|
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: Photobooth | Statement: [Friendly Fires, hasEP, Photobooth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Photobooth Context triple: [Friendly Fires, hasEP, Photobooth]
-
A.
Photobooth
"Photobooth" is a song by Chicago rapper Joey Purp, showcasing his introspective lyrics and melodic, atmospheric production.
-
B.
Photo Booth
Photo Booth is a macOS application that lets users take photos and videos with their computer’s camera and apply various fun effects and filters.
-
C.
Shutterbugg
"Shutterbugg" is a hit hip-hop single by Big Boi, known for its funky production, catchy hook, and inventive music video.
-
D.
Lightbox
Lightbox is a London-based production company known for creating high-profile documentary films and series.
-
E.
Picture Day
Picture Day is a 2012 Canadian coming-of-age comedy-drama film starring Tatiana Maslany as a rebellious high school student forced to repeat her senior year.
- 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: Photobooth Triple: [Friendly Fires, hasEP, Photobooth]
Generated description
"Photobooth" is an EP by the British indie band Friendly Fires, showcasing their danceable, synth-driven indie rock sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Photobooth Target entity description: "Photobooth" is an EP by the British indie band Friendly Fires, showcasing their danceable, synth-driven indie rock sound.
-
A.
Photobooth
"Photobooth" is a song by Chicago rapper Joey Purp, showcasing his introspective lyrics and melodic, atmospheric production.
-
B.
Photo Booth
Photo Booth is a macOS application that lets users take photos and videos with their computer’s camera and apply various fun effects and filters.
-
C.
Shutterbugg
"Shutterbugg" is a hit hip-hop single by Big Boi, known for its funky production, catchy hook, and inventive music video.
-
D.
Lightbox
Lightbox is a London-based production company known for creating high-profile documentary films and series.
-
E.
Picture Day
Picture Day is a 2012 Canadian coming-of-age comedy-drama film starring Tatiana Maslany as a rebellious high school student forced to repeat her senior year.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c3cf64819087e270a1f50e629e |
completed | April 28, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab66655308190bdbc99af6ff2431c |
completed | May 18, 2026, 6:49 a.m. |
| NEDg | Description generation | batch_6a0ab70bd30881908c2396ed5c825031 |
completed | May 18, 2026, 6:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab7a959b48190bd3dec4ce128c2b1 |
completed | May 18, 2026, 6:54 a.m. |
Created at: April 16, 2026, 8:39 p.m.