Triple
T19048940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juergen Teller |
E466207
|
entity |
| Predicate | hasExhibition |
P1513
|
FINISHED |
| Object |
Woo
Woo is an art exhibition by renowned German photographer Juergen Teller, showcasing his distinctive, provocative photographic style.
|
E1356472
|
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: [Juergen Teller, hasExhibition, Woo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woo Context triple: [Juergen Teller, hasExhibition, 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.
The Woo
"The Woo" is a popular drill-rap track by Pop Smoke featuring 50 Cent and Roddy Ricch, known for its melodic hook and tribute to New York street culture.
-
D.
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.
-
E.
Meet the Woo
Meet the Woo is a 2019 drill mixtape by Brooklyn rapper Pop Smoke that helped popularize Brooklyn drill and introduced his distinctive gravelly voice and UK drill-influenced sound.
- 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: [Juergen Teller, hasExhibition, Woo]
Generated description
Woo is an art exhibition by renowned German photographer Juergen Teller, showcasing his distinctive, provocative photographic style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Woo Target entity description: Woo is an art exhibition by renowned German photographer Juergen Teller, showcasing his distinctive, provocative photographic style.
-
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.
The Woo
"The Woo" is a popular drill-rap track by Pop Smoke featuring 50 Cent and Roddy Ricch, known for its melodic hook and tribute to New York street culture.
-
D.
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.
-
E.
Meet the Woo
Meet the Woo is a 2019 drill mixtape by Brooklyn rapper Pop Smoke that helped popularize Brooklyn drill and introduced his distinctive gravelly voice and UK drill-influenced sound.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d8062ea481908cf3fcb790a74956 |
completed | April 20, 2026, 7:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05c551e26c8190928642f451cb85f0 |
completed | May 14, 2026, 12:51 p.m. |
| NEDg | Description generation | batch_6a05c7645d6c8190bd4d16b234c3384b |
completed | May 14, 2026, 1 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05c7c6e4148190bbdafd47ce2bdef4 |
completed | May 14, 2026, 1:01 p.m. |
Created at: April 10, 2026, 12:03 p.m.