Triple
T15939573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anti |
E386522
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Woo |
E333483
|
NE FINISHED |
How this triple was built (2 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: [Anti, hasPart, Woo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woo Context triple: [Anti, hasPart, Woo]
-
A.
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.
-
B.
Woo
chosen
Woo is an alternative spelling of the Chinese surname "Wu," commonly borne by people of Chinese heritage around the world.
-
C.
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.
-
D.
Woohoo
"Woohoo" is an energetic, genre-blending pop track by Christina Aguilera featuring Nicki Minaj, known for its playful lyrics and bold, futuristic production.
-
E.
Woopi
Woopi is the colloquial nickname for Woolgoolga, a coastal town in New South Wales, Australia known for its beaches and large Sikh community.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156ad9988819089ad7822e0f46177 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5ba070c8190b6af6cb21bddd7f1 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.