Triple
T20005322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lumen Industries |
E494442
|
entity |
| Predicate | employsFictionalCharacter |
P26582
|
FINISHED |
| Object |
Helly R
Helly R is a central character in the TV series "Severance," known as a severed employee whose rebellious "innie" challenges the control of the mysterious corporation Lumen Industries.
|
E1405035
|
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: Helly R | Statement: [Lumen Industries, employsFictionalCharacter, Helly R]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helly R Context triple: [Lumen Industries, employsFictionalCharacter, Helly R]
-
A.
Hale R
Hale R is a small satellite crater located near the larger Hale crater on the Moon’s far side.
-
B.
Holl
Holl is a German surname borne by various notable individuals, including artists, performers, and professionals.
-
C.
Heeley
Heeley is a district in the city of Sheffield, South Yorkshire, England, known for its residential areas, local amenities, and proximity to green spaces.
-
D.
Heyl
Heyl is the middle name of John Heyl Vincent, an American Methodist bishop and co-founder of the Chautauqua Institution.
-
E.
Hellerud
Hellerud is a residential neighborhood in Oslo, Norway, known for its hillside location and proximity to green areas and public transport.
- 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: Helly R Triple: [Lumen Industries, employsFictionalCharacter, Helly R]
Generated description
Helly R is a central character in the TV series "Severance," known as a severed employee whose rebellious "innie" challenges the control of the mysterious corporation Lumen Industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helly R Target entity description: Helly R is a central character in the TV series "Severance," known as a severed employee whose rebellious "innie" challenges the control of the mysterious corporation Lumen Industries.
-
A.
Hale R
Hale R is a small satellite crater located near the larger Hale crater on the Moon’s far side.
-
B.
Holl
Holl is a German surname borne by various notable individuals, including artists, performers, and professionals.
-
C.
Heeley
Heeley is a district in the city of Sheffield, South Yorkshire, England, known for its residential areas, local amenities, and proximity to green spaces.
-
D.
Heyl
Heyl is the middle name of John Heyl Vincent, an American Methodist bishop and co-founder of the Chautauqua Institution.
-
E.
Hellerud
Hellerud is a residential neighborhood in Oslo, Norway, known for its hillside location and proximity to green areas and public transport.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a46c748190a141ab5aac6ea250 |
completed | April 20, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08050db2648190b3400fabb144215f |
completed | May 16, 2026, 5:47 a.m. |
| NEDg | Description generation | batch_6a0805ed58f881909c94d5d9f8ecf631 |
completed | May 16, 2026, 5:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080668c5dc81909d93f167c6600924 |
completed | May 16, 2026, 5:53 a.m. |
Created at: April 11, 2026, 3:33 p.m.