Triple
T6404385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worldwide Underground |
E144141
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Woo
"Woo" is a song from Erykah Badu's neo-soul album "Worldwide Underground," showcasing her signature blend of soulful vocals and experimental R&B production.
|
E589848
|
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: Woo | Statement: [Worldwide Underground, hasTrack, Woo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woo Context triple: [Worldwide Underground, hasTrack, Woo]
-
A.
Woo
Woo is an alternative spelling of the Chinese surname "Wu," commonly borne by people of Chinese heritage around the world.
-
B.
Wo!!
Wo!! is a hit Nigerian street-hop single by rapper Olamide, known for its catchy beat, dance-inducing vibe, and massive popularity across Nigeria.
-
C.
Woohoo
"Woohoo" is an energetic, genre-blending pop track by Christina Aguilera featuring Nicki Minaj, known for its playful lyrics and bold, futuristic production.
-
D.
Woopi
Woopi is the colloquial nickname for Woolgoolga, a coastal town in New South Wales, Australia known for its beaches and large Sikh community.
-
E.
Wem
Wem is a small market town and civil parish in the county of Shropshire, England.
- 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: Woo Triple: [Worldwide Underground, hasTrack, Woo]
Generated description
"Woo" is a song from Erykah Badu's neo-soul album "Worldwide Underground," showcasing her signature blend of soulful vocals and experimental R&B production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Woo Target entity description: "Woo" is a song from Erykah Badu's neo-soul album "Worldwide Underground," showcasing her signature blend of soulful vocals and experimental R&B production.
-
A.
Woo
Woo is an alternative spelling of the Chinese surname "Wu," commonly borne by people of Chinese heritage around the world.
-
B.
Wo!!
Wo!! is a hit Nigerian street-hop single by rapper Olamide, known for its catchy beat, dance-inducing vibe, and massive popularity across Nigeria.
-
C.
Woohoo
"Woohoo" is an energetic, genre-blending pop track by Christina Aguilera featuring Nicki Minaj, known for its playful lyrics and bold, futuristic production.
-
D.
Woopi
Woopi is the colloquial nickname for Woolgoolga, a coastal town in New South Wales, Australia known for its beaches and large Sikh community.
-
E.
Wem
Wem is a small market town and civil parish in the county of Shropshire, England.
- 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_69c008dc56fc81908d43ffcc11d73bdd |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c068b0950c819091169aa1a3be0e88 |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638aaed0c8190939e751af7c3fa80 |
completed | March 27, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_69c6395e934c81909bfa10ee1b8e517f |
completed | March 27, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63a0a4a108190b474555d8cb1540c |
completed | March 27, 2026, 8:04 a.m. |
Created at: March 22, 2026, 4:35 p.m.