Triple
T6188487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molly Parker |
E138123
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object |
Alma Garret
Alma Garret is a wealthy, opium-addicted widow and prominent businesswoman in the frontier town of Deadwood in the television series "Deadwood."
|
E598090
|
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: Alma Garret | Statement: [Molly Parker, playedCharacter, Alma Garret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alma Garret Context triple: [Molly Parker, playedCharacter, Alma Garret]
-
A.
Elizabeth Alda
Elizabeth Alda is an American actress, best known for her role in the film "The Four Seasons" and as the daughter of actor and director Alan Alda.
-
B.
Darlene Hunt
Darlene Hunt is an American television writer and producer best known for creating the Showtime series "The Big C" and serving as an executive producer on various TV projects.
-
C.
Maxene Reynolds
Maxene Reynolds is the daughter of legendary American actress and singer Debbie Reynolds.
-
D.
Alaqua Cox
Alaqua Cox is a Native American actress best known for playing the deaf superhero Maya Lopez/Echo in the Marvel Cinematic Universe.
-
E.
Paulina Neely
Paulina Neely is known as the wife of former NHL star and Boston Bruins president Cam Neely.
- 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: Alma Garret Triple: [Molly Parker, playedCharacter, Alma Garret]
Generated description
Alma Garret is a wealthy, opium-addicted widow and prominent businesswoman in the frontier town of Deadwood in the television series "Deadwood."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alma Garret Target entity description: Alma Garret is a wealthy, opium-addicted widow and prominent businesswoman in the frontier town of Deadwood in the television series "Deadwood."
-
A.
Elizabeth Alda
Elizabeth Alda is an American actress, best known for her role in the film "The Four Seasons" and as the daughter of actor and director Alan Alda.
-
B.
Darlene Hunt
Darlene Hunt is an American television writer and producer best known for creating the Showtime series "The Big C" and serving as an executive producer on various TV projects.
-
C.
Maxene Reynolds
Maxene Reynolds is the daughter of legendary American actress and singer Debbie Reynolds.
-
D.
Alaqua Cox
Alaqua Cox is a Native American actress best known for playing the deaf superhero Maya Lopez/Echo in the Marvel Cinematic Universe.
-
E.
Paulina Neely
Paulina Neely is known as the wife of former NHL star and Boston Bruins president Cam Neely.
- 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062192c5481909eb41f8c5d1208a3 |
completed | March 22, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6636ff608819087e25c2453220d93 |
completed | March 27, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69c6675faeb08190a345ecdb18d188b5 |
completed | March 27, 2026, 11:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c667f177d481909f322ab7ce092593 |
completed | March 27, 2026, 11:20 a.m. |
Created at: March 22, 2026, 4:19 p.m.