Triple
T21131714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penguin Young Readers |
E520703
|
entity |
| Predicate | hasImprint |
P2763
|
FINISHED |
| Object |
Speak
Speak is a publishing imprint of Penguin Young Readers known for releasing young adult and teen literature.
|
E1467386
|
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: Speak | Statement: [Penguin Young Readers, hasImprint, Speak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Speak Context triple: [Penguin Young Readers, hasImprint, Speak]
-
A.
Speak
"Speak" is a hard rock single by the American band Godsmack, known for its heavy riffs and aggressive vocal style.
-
B.
Speak
"Speak" is a 2004 drama film based on Laurie Halse Anderson's novel, featuring Kristen Stewart as a traumatized teenager who becomes selectively mute after a sexual assault.
-
C.
Talk
"Talk" is a hit R&B/pop single by American singer Khalid, known for its smooth production and introspective lyrics about communication in relationships.
-
D.
Talk
"Talk" is a song by the American pop-rock band Against the Current, known for their energetic style and emotionally charged lyrics.
-
E.
Say
Say is a French surname most famously associated with economist Jean-Baptiste Say, known for formulating Say's Law in classical economics.
- 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: Speak Triple: [Penguin Young Readers, hasImprint, Speak]
Generated description
Speak is a publishing imprint of Penguin Young Readers known for releasing young adult and teen literature.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Speak Target entity description: Speak is a publishing imprint of Penguin Young Readers known for releasing young adult and teen literature.
-
A.
Speak
"Speak" is a hard rock single by the American band Godsmack, known for its heavy riffs and aggressive vocal style.
-
B.
Speak
"Speak" is a 2004 drama film based on Laurie Halse Anderson's novel, featuring Kristen Stewart as a traumatized teenager who becomes selectively mute after a sexual assault.
-
C.
Talk
"Talk" is a hit R&B/pop single by American singer Khalid, known for its smooth production and introspective lyrics about communication in relationships.
-
D.
Talk
"Talk" is a song by the American pop-rock band Against the Current, known for their energetic style and emotionally charged lyrics.
-
E.
Say
Say is a French surname most famously associated with economist Jean-Baptiste Say, known for formulating Say's Law in classical economics.
- 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7235668e081909bd810016ba2dd8e |
completed | April 21, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0965f0041881909f841d5330b1aad0 |
completed | May 17, 2026, 6:53 a.m. |
| NEDg | Description generation | batch_6a0966879f08819096d6e9e7abe902c5 |
completed | May 17, 2026, 6:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09670fc80c81909cbce03b5e071428 |
completed | May 17, 2026, 6:58 a.m. |
Created at: April 16, 2026, 2:56 p.m.