Triple
T4047081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oingo Boingo |
E84090
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object |
Boingo Alive
Boingo Alive is a live-in-the-studio double album by American new wave band Oingo Boingo, featuring re-recorded versions of many of their earlier songs.
|
E408256
|
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: Boingo Alive | Statement: [Oingo Boingo, album, Boingo Alive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boingo Alive Context triple: [Oingo Boingo, album, Boingo Alive]
-
A.
WINGO
WINGO is the radio callsign used by Wingo, a low-cost Colombian airline operating domestic and international flights in Latin America.
-
B.
Upstart
Upstart is an event-based init daemon developed for Linux systems to manage services and system startup and shutdown.
-
C.
Loco Live
Loco Live is a live album by the American punk rock band the Ramones, capturing one of their high-energy concert performances.
-
D.
Swing Mob
Swing Mob was a 1990s R&B/hip-hop collective and production crew founded by DeVante Swing that launched the careers of artists like Missy Elliott, Timbaland, and Ginuwine.
-
E.
Bounce
"Bounce" is a popular Afrobeats song by Nigerian singer Rema, known for its energetic production and catchy, dance-oriented style.
- 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: Boingo Alive Triple: [Oingo Boingo, album, Boingo Alive]
Generated description
Boingo Alive is a live-in-the-studio double album by American new wave band Oingo Boingo, featuring re-recorded versions of many of their earlier songs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boingo Alive Target entity description: Boingo Alive is a live-in-the-studio double album by American new wave band Oingo Boingo, featuring re-recorded versions of many of their earlier songs.
-
A.
WINGO
WINGO is the radio callsign used by Wingo, a low-cost Colombian airline operating domestic and international flights in Latin America.
-
B.
Upstart
Upstart is an event-based init daemon developed for Linux systems to manage services and system startup and shutdown.
-
C.
Loco Live
Loco Live is a live album by the American punk rock band the Ramones, capturing one of their high-energy concert performances.
-
D.
Swing Mob
Swing Mob was a 1990s R&B/hip-hop collective and production crew founded by DeVante Swing that launched the careers of artists like Missy Elliott, Timbaland, and Ginuwine.
-
E.
Bounce
"Bounce" is a popular Afrobeats song by Nigerian singer Rema, known for its energetic production and catchy, dance-oriented style.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb62593c8190ab8462c4d9cd9d08 |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5565466648190802a9b8fd88c3572 |
completed | March 14, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69b556cdd05081909fea1fb0a58bc7d1 |
completed | March 14, 2026, 12:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b557d445d081908f48fe3bd06f786e |
completed | March 14, 2026, 12:43 p.m. |
Created at: March 9, 2026, 3:37 p.m.