Triple
T23391793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 42 Dugg |
E594037
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Free Woo
"Free Woo" is a popular track by Detroit rapper 42 Dugg that helped boost his visibility in the contemporary hip-hop scene.
|
E1584514
|
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: Free Woo | Statement: [42 Dugg, notableWork, Free Woo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Free Woo Context triple: [42 Dugg, notableWork, Free Woo]
-
A.
Woo
Woo is an alternative spelling of the Chinese surname "Wu," commonly borne by people of Chinese heritage around the world.
-
B.
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.
-
C.
Woo
"Woo" is a 1998 romantic comedy film starring Jada Pinkett Smith as a flamboyant woman whose disastrous blind date leads to a series of comedic misadventures.
-
D.
Woo
Woo is an art exhibition by renowned German photographer Juergen Teller, showcasing his distinctive, provocative photographic style.
-
E.
The Freebie
The Freebie is a 2010 American independent romantic drama film about a married couple who experiment with giving each other one night of sexual freedom, written and directed by Katie Aselton.
- 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: Free Woo Triple: [42 Dugg, notableWork, Free Woo]
Generated description
"Free Woo" is a popular track by Detroit rapper 42 Dugg that helped boost his visibility in the contemporary hip-hop scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Free Woo Target entity description: "Free Woo" is a popular track by Detroit rapper 42 Dugg that helped boost his visibility in the contemporary hip-hop scene.
-
A.
Woo
Woo is an alternative spelling of the Chinese surname "Wu," commonly borne by people of Chinese heritage around the world.
-
B.
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.
-
C.
Woo
"Woo" is a 1998 romantic comedy film starring Jada Pinkett Smith as a flamboyant woman whose disastrous blind date leads to a series of comedic misadventures.
-
D.
Woo
Woo is an art exhibition by renowned German photographer Juergen Teller, showcasing his distinctive, provocative photographic style.
-
E.
The Freebie
The Freebie is a 2010 American independent romantic drama film about a married couple who experiment with giving each other one night of sexual freedom, written and directed by Katie Aselton.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49ca5a0819091b74ca59e7fedd4 |
completed | April 29, 2026, 6:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dec070c81908e86b1c7fc50fc83 |
completed | May 19, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0c62311ff48190b740bba58180f100 |
completed | May 19, 2026, 1:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c62d82f908190acbe1fec58288df9 |
completed | May 19, 2026, 1:17 p.m. |
Created at: April 17, 2026, 5:36 p.m.