Triple
T1864532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afrodisiac |
E34889
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Focus
"Focus" is a track from the album "Afrodisiac," known for its smooth R&B production and introspective lyrical themes.
|
E207700
|
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: Focus | Statement: [Afrodisiac, hasTrack, Focus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Focus Context triple: [Afrodisiac, hasTrack, Focus]
-
A.
InFocus
InFocus is an American company best known for designing and manufacturing digital projectors and other display technologies.
-
B.
Reason
"Reason" is a science fiction short story by Isaac Asimov, part of his Robot series, that explores themes of faith, logic, and artificial intelligence through a robot that develops its own quasi-religious belief system.
-
C.
Vision
Vision is a powerful, synthetically created superhero in the Marvel universe known for his android body, advanced intellect, and moral complexity.
-
D.
Forward
Forward is the state motto of Wisconsin, expressing its emphasis on progress and continual improvement.
-
E.
AIM
AIM is the commonly used acronym for AOL Instant Messenger, a pioneering early internet instant messaging service.
- 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: Focus Triple: [Afrodisiac, hasTrack, Focus]
Generated description
"Focus" is a track from the album "Afrodisiac," known for its smooth R&B production and introspective lyrical themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Focus Target entity description: "Focus" is a track from the album "Afrodisiac," known for its smooth R&B production and introspective lyrical themes.
-
A.
InFocus
InFocus is an American company best known for designing and manufacturing digital projectors and other display technologies.
-
B.
Reason
"Reason" is a science fiction short story by Isaac Asimov, part of his Robot series, that explores themes of faith, logic, and artificial intelligence through a robot that develops its own quasi-religious belief system.
-
C.
Vision
Vision is a powerful, synthetically created superhero in the Marvel universe known for his android body, advanced intellect, and moral complexity.
-
D.
Forward
Forward is the state motto of Wisconsin, expressing its emphasis on progress and continual improvement.
-
E.
AIM
AIM is the commonly used acronym for AOL Instant Messenger, a pioneering early internet instant messaging service.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb0a0b4b881908b07c07db624701d |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1d2d2d48190b2234d1ec9ba9085 |
completed | March 8, 2026, 7:45 p.m. |
| NEDg | Description generation | batch_69add28b804c8190a625e5d1405c59be |
completed | March 8, 2026, 7:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69add35731588190a13c969490ca2c09 |
completed | March 8, 2026, 7:51 p.m. |
Created at: March 4, 2026, 7:34 p.m.