Triple
T661067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hell on Wheels |
E11755
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object |
Dominique McElligott
Dominique McElligott is an Irish actress known for her roles in television series such as Hell on Wheels, House of Cards, and The Boys.
|
E134410
|
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: Dominique McElligott | Statement: [Hell on Wheels, starred, Dominique McElligott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dominique McElligott Context triple: [Hell on Wheels, starred, Dominique McElligott]
-
A.
Ruby Aldridge
Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
-
B.
Jocelyn Howard
Jocelyn Howard is an American television and film actress best known as the daughter of filmmaker and former child star Ron Howard.
-
C.
Leola Brown
Leola Brown was the wife of Oliver Brown, the named plaintiff in the landmark U.S. Supreme Court school desegregation case Brown v. Board of Education.
-
D.
Eboni Mills
Eboni Mills is known for having been married to RZA, the influential producer and de facto leader of the Wu-Tang Clan.
-
E.
Shante Broadus
Shante Broadus is an American entrepreneur and talent manager best known as the longtime wife and business partner of rapper Snoop Dogg.
- 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: Dominique McElligott Triple: [Hell on Wheels, starred, Dominique McElligott]
Generated description
Dominique McElligott is an Irish actress known for her roles in television series such as Hell on Wheels, House of Cards, and The Boys.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dominique McElligott Target entity description: Dominique McElligott is an Irish actress known for her roles in television series such as Hell on Wheels, House of Cards, and The Boys.
-
A.
Ruby Aldridge
Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
-
B.
Jocelyn Howard
Jocelyn Howard is an American television and film actress best known as the daughter of filmmaker and former child star Ron Howard.
-
C.
Leola Brown
Leola Brown was the wife of Oliver Brown, the named plaintiff in the landmark U.S. Supreme Court school desegregation case Brown v. Board of Education.
-
D.
Eboni Mills
Eboni Mills is known for having been married to RZA, the influential producer and de facto leader of the Wu-Tang Clan.
-
E.
Shante Broadus
Shante Broadus is an American entrepreneur and talent manager best known as the longtime wife and business partner of rapper Snoop Dogg.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fa954988190841740a587ace466 |
completed | March 1, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6ef9b97881908eab2a5472b02183 |
completed | March 7, 2026, 6:31 p.m. |
| NEDg | Description generation | batch_69ac6f83cea0819094a9ca27804ab9e0 |
completed | March 7, 2026, 6:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac6feadf7c8190918fc0c606df10d5 |
completed | March 7, 2026, 6:35 p.m. |
Created at: March 1, 2026, 7:36 p.m.