Triple
T14523243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Garner |
E340704
|
entity |
| Predicate | hasRole |
P161
|
FINISHED |
| Object |
Teresa McQueen
Teresa McQueen is a character portrayed by Julia Garner, likely featured in a film or television series.
|
E1105635
|
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: Teresa McQueen | Statement: [Julia Garner, hasRole, Teresa McQueen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teresa McQueen Context triple: [Julia Garner, hasRole, Teresa McQueen]
-
A.
Janet McQueen
Janet McQueen is a sibling of the renowned British fashion designer Alexander McQueen.
-
B.
Marla Daniels
Marla Daniels is a politically ambitious lawyer and school board member in the television series "The Wire," known for her strained marriage to police lieutenant Cedric Daniels.
-
C.
Liz Sheridan
Liz Sheridan was an American actress best known for playing Jerry Seinfeld’s mother, Helen Seinfeld, on the sitcom "Seinfeld."
-
D.
Victoria McQueen
Victoria McQueen is a young woman with a supernatural ability to find lost things, serving as the central protagonist in Joe Hill’s horror novel "NOS4A2."
-
E.
Tracy Partridge
Tracy Partridge is the young tambourine-playing daughter in the fictional musical family featured in the 1970s TV sitcom "The Partridge Family."
- 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: Teresa McQueen Triple: [Julia Garner, hasRole, Teresa McQueen]
Generated description
Teresa McQueen is a character portrayed by Julia Garner, likely featured in a film or television series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teresa McQueen Target entity description: Teresa McQueen is a character portrayed by Julia Garner, likely featured in a film or television series.
-
A.
Janet McQueen
Janet McQueen is a sibling of the renowned British fashion designer Alexander McQueen.
-
B.
Marla Daniels
Marla Daniels is a politically ambitious lawyer and school board member in the television series "The Wire," known for her strained marriage to police lieutenant Cedric Daniels.
-
C.
Liz Sheridan
Liz Sheridan was an American actress best known for playing Jerry Seinfeld’s mother, Helen Seinfeld, on the sitcom "Seinfeld."
-
D.
Victoria McQueen
Victoria McQueen is a young woman with a supernatural ability to find lost things, serving as the central protagonist in Joe Hill’s horror novel "NOS4A2."
-
E.
Tracy Partridge
Tracy Partridge is the young tambourine-playing daughter in the fictional musical family featured in the 1970s TV sitcom "The Partridge Family."
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea04f16f88190ba357b0f8021b46b |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ab07e08819085a6a21cc9cea1fa |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8c1a07008190ab67087f04bc90db |
completed | May 8, 2026, 7:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8cca08288190a1d3fe200d0efa44 |
completed | May 8, 2026, 7:12 a.m. |
Created at: April 10, 2026, 1:22 a.m.