Triple
T18759950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HOWL, eon (I, II) |
E458743
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
HOWL, eon (I)
HOWL, eon (I) is the first installment of the HOWL, eon series, introducing its foundational themes, sound, and artistic concepts.
|
E1342101
|
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: HOWL, eon (I) | Statement: [HOWL, eon (I, II), hasPart, HOWL, eon (I)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HOWL, eon (I) Context triple: [HOWL, eon (I, II), hasPart, HOWL, eon (I)]
-
A.
Eonmun
Eonmun is an old Korean term referring to the native Korean writing system that later came to be known as Hangul.
-
B.
Heno
Heno is a Welsh-language television magazine programme broadcast on S4C, featuring news, interviews, and cultural stories from across Wales.
-
C.
Howest
Howest is a Belgian university of applied sciences known for its practice-oriented programs in fields such as technology, design, and business.
-
D.
Onhel
Onhel is a music producer and audio engineer known for his work on major hip-hop projects, including Lil Wayne’s album "Tha Carter V."
-
E.
Eonavian
Eonavian is a Romance language variety spoken in the westernmost part of Asturias, Spain, showing features transitional between Galician-Portuguese and Asturian.
- 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: HOWL, eon (I) Triple: [HOWL, eon (I, II), hasPart, HOWL, eon (I)]
Generated description
HOWL, eon (I) is the first installment of the HOWL, eon series, introducing its foundational themes, sound, and artistic concepts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HOWL, eon (I) Target entity description: HOWL, eon (I) is the first installment of the HOWL, eon series, introducing its foundational themes, sound, and artistic concepts.
-
A.
Eonmun
Eonmun is an old Korean term referring to the native Korean writing system that later came to be known as Hangul.
-
B.
Heno
Heno is a Welsh-language television magazine programme broadcast on S4C, featuring news, interviews, and cultural stories from across Wales.
-
C.
Howest
Howest is a Belgian university of applied sciences known for its practice-oriented programs in fields such as technology, design, and business.
-
D.
Onhel
Onhel is a music producer and audio engineer known for his work on major hip-hop projects, including Lil Wayne’s album "Tha Carter V."
-
E.
Eonavian
Eonavian is a Romance language variety spoken in the westernmost part of Asturias, Spain, showing features transitional between Galician-Portuguese and Asturian.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d7db2f48190a4f1c5c9801fe180 |
completed | April 20, 2026, 2:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a053d3e4f048190b72ec4ed1dec6c55 |
completed | May 14, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_6a053f3c45308190a87170c5d54ff3cd |
completed | May 14, 2026, 3:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a053fd358a08190a1cd97c02f0e814e |
completed | May 14, 2026, 3:21 a.m. |
Created at: April 10, 2026, 11:52 a.m.