Triple
T14169932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eion Bailey |
E351178
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
From
From is a mystery-horror television series centered on a nightmarish town that traps all who enter and is besieged by terrifying nocturnal creatures.
|
E1082937
|
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: From | Statement: [Eion Bailey, notableWork, From]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: From Context triple: [Eion Bailey, notableWork, From]
-
A.
FromHere
FromHere is a song by the American R&B/hip-hop duo NxWorries, known for its smooth, soulful production and introspective lyrics.
-
B.
Posta
Posta is a popular Turkish daily newspaper known for its mass-market appeal and wide circulation.
-
C.
To and From
"To and From" is a conceptual artwork by Brazilian artist Jac Leirner, known for assembling everyday materials—often related to travel and commerce—into minimalist, serial compositions that explore consumption, circulation, and value.
-
D.
Maili
Maili is a coastal residential community on the leeward side of Oahu in Hawaii, known for its beaches and local neighborhood character.
-
E.
FO
FO is the IATA airline designator assigned to Flybondi, a low-cost carrier based in Argentina.
- 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: From Triple: [Eion Bailey, notableWork, From]
Generated description
From is a mystery-horror television series centered on a nightmarish town that traps all who enter and is besieged by terrifying nocturnal creatures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: From Target entity description: From is a mystery-horror television series centered on a nightmarish town that traps all who enter and is besieged by terrifying nocturnal creatures.
-
A.
FromHere
FromHere is a song by the American R&B/hip-hop duo NxWorries, known for its smooth, soulful production and introspective lyrics.
-
B.
Posta
Posta is a popular Turkish daily newspaper known for its mass-market appeal and wide circulation.
-
C.
To and From
"To and From" is a conceptual artwork by Brazilian artist Jac Leirner, known for assembling everyday materials—often related to travel and commerce—into minimalist, serial compositions that explore consumption, circulation, and value.
-
D.
Maili
Maili is a coastal residential community on the leeward side of Oahu in Hawaii, known for its beaches and local neighborhood character.
-
E.
FO
FO is the IATA airline designator assigned to Flybondi, a low-cost carrier based in Argentina.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b472288190b4a271daa54aa6cd |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7f779248190921c85f99f587296 |
completed | May 7, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69fcf8bb58ac81908e66156a805edda8 |
completed | May 7, 2026, 8:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcf93b528c81908c0ee11908d25574 |
completed | May 7, 2026, 8:42 p.m. |
Created at: April 10, 2026, 1:01 a.m.