Triple
T11241373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aretha Now |
E266080
|
entity |
| Predicate | includesTrack |
P3284
|
FINISHED |
| Object |
See Saw
"See Saw" is a soulful R&B song popularized by Aretha Franklin, showcasing her powerful vocals and emotive style.
|
E913442
|
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: See Saw | Statement: [Aretha Now, includesTrack, See Saw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: See Saw Context triple: [Aretha Now, includesTrack, See Saw]
-
A.
Seesaw
Seesaw is a 1973 Broadway musical with music by Cy Coleman and lyrics by Dorothy Fields, known for its New York City setting and for showcasing Tommy Tune’s Tony Award–winning performance.
-
B.
Ride My See-Saw
"Ride My See-Saw" is a 1968 psychedelic rock song by The Moody Blues known for its energetic tempo, philosophical lyrics, and prominent use of Mellotron.
-
C.
Sway
Sway is a tiling Wayland compositor and window manager designed as a drop-in, i3-compatible replacement for X11-based setups.
-
D.
Sway
Sway is a studio album by American alternative rock band Blue October, known for its emotionally charged lyrics and atmospheric rock sound.
-
E.
Sway
Sway is a Microsoft 365 presentation and storytelling app that lets users create interactive, web-based reports, lessons, and presentations.
- 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: See Saw Triple: [Aretha Now, includesTrack, See Saw]
Generated description
"See Saw" is a soulful R&B song popularized by Aretha Franklin, showcasing her powerful vocals and emotive style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: See Saw Target entity description: "See Saw" is a soulful R&B song popularized by Aretha Franklin, showcasing her powerful vocals and emotive style.
-
A.
Seesaw
Seesaw is a 1973 Broadway musical with music by Cy Coleman and lyrics by Dorothy Fields, known for its New York City setting and for showcasing Tommy Tune’s Tony Award–winning performance.
-
B.
Ride My See-Saw
"Ride My See-Saw" is a 1968 psychedelic rock song by The Moody Blues known for its energetic tempo, philosophical lyrics, and prominent use of Mellotron.
-
C.
Sway
Sway is a tiling Wayland compositor and window manager designed as a drop-in, i3-compatible replacement for X11-based setups.
-
D.
Sway
Sway is a studio album by American alternative rock band Blue October, known for its emotionally charged lyrics and atmospheric rock sound.
-
E.
Sway
Sway is a Microsoft 365 presentation and storytelling app that lets users create interactive, web-based reports, lessons, and presentations.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e919eaf48190a1457851cfc56afb |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad79e4788190af39186f37600a64 |
completed | April 19, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69e4b12eee348190bee6c84587e4955d |
completed | April 19, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4be2bb8c88190a21773b0c43b6b99 |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 8, 2026, 9:30 p.m.