Triple
T16880716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Incredible True Story |
E421407
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Like Woah
"Like Woah" is a high-energy hip-hop track by Logic known for its catchy hook and confident, braggadocious lyrics.
|
E1238223
|
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: Like Woah | Statement: [The Incredible True Story, hasPart, Like Woah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Like Woah Context triple: [The Incredible True Story, hasPart, Like Woah]
-
A.
Woah
"Woah" is a popular hip-hop single by American rapper Lil Baby known for its catchy hook and viral dance.
-
B.
Like Ooh-Ahh
"Like Ooh-Ahh" is a 2015 dance-pop song by South Korean girl group Twice that blends catchy melodies with energetic choreography and helped launch them to widespread fame.
-
C.
WOAH
WOAH is the acronym for the World Organisation for Animal Health, an intergovernmental body that sets international standards for animal health and welfare.
-
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.
Whoa
"Whoa" is a soulful R&B single by Swedish singer Snoh Aalegra, known for its lush production and emotive vocals that helped elevate her international profile.
- 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: Like Woah Triple: [The Incredible True Story, hasPart, Like Woah]
Generated description
"Like Woah" is a high-energy hip-hop track by Logic known for its catchy hook and confident, braggadocious lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Like Woah Target entity description: "Like Woah" is a high-energy hip-hop track by Logic known for its catchy hook and confident, braggadocious lyrics.
-
A.
Woah
"Woah" is a popular hip-hop single by American rapper Lil Baby known for its catchy hook and viral dance.
-
B.
Like Ooh-Ahh
"Like Ooh-Ahh" is a 2015 dance-pop song by South Korean girl group Twice that blends catchy melodies with energetic choreography and helped launch them to widespread fame.
-
C.
WOAH
WOAH is the acronym for the World Organisation for Animal Health, an intergovernmental body that sets international standards for animal health and welfare.
-
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.
Whoa
"Whoa" is a soulful R&B single by Swedish singer Snoh Aalegra, known for its lush production and emotive vocals that helped elevate her international profile.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7fa96588190837777c401880cb3 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2b8fcf081908898f5589b2455ce |
completed | May 10, 2026, 5:39 p.m. |
| NEDg | Description generation | batch_6a00c332051c8190b086a6e29b8d9c61 |
completed | May 10, 2026, 5:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c434d8f88190a71c1c4c8e475e33 |
completed | May 10, 2026, 5:45 p.m. |
Created at: April 10, 2026, 5:29 a.m.