Triple
T21324988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Levering |
E525727
|
entity |
| Predicate | hasRole |
P161
|
FINISHED |
| Object |
Ginger in Mad Men
Ginger in Mad Men is a minor character portrayed by Kate Levering in the acclaimed period drama series Mad Men.
|
E1477915
|
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: Ginger in Mad Men | Statement: [Kate Levering, hasRole, Ginger in Mad Men]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ginger in Mad Men Context triple: [Kate Levering, hasRole, Ginger in Mad Men]
-
A.
Ginger in True Blood
Ginger in True Blood is a frequently terrified, scream-prone Fangtasia waitress whose darkly comic reactions make her a memorable supporting character in the vampire drama series.
-
B.
Ginger Me
"Ginger Me" is a popular Afrobeats song by Nigerian singer Rema, known for its smooth melodies and romantic, laid-back vibe.
-
C.
Mother Ginger
Mother Ginger is a mysterious and initially menacing yet ultimately sympathetic figure who rules the Land of Amusements in Disney’s fantasy film "The Nutcracker and the Four Realms."
-
D.
Auntie Gin
Auntie Gin is a relative referenced in the lyrics of Paul McCartney and Wings' song "Let 'Em In."
-
E.
Ginger
Ginger is the brave and resourceful lead hen from the animated film "Chicken Run," known for masterminding escape plans from the farm.
- 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: Ginger in Mad Men Triple: [Kate Levering, hasRole, Ginger in Mad Men]
Generated description
Ginger in Mad Men is a minor character portrayed by Kate Levering in the acclaimed period drama series Mad Men.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ginger in Mad Men Target entity description: Ginger in Mad Men is a minor character portrayed by Kate Levering in the acclaimed period drama series Mad Men.
-
A.
Ginger in True Blood
Ginger in True Blood is a frequently terrified, scream-prone Fangtasia waitress whose darkly comic reactions make her a memorable supporting character in the vampire drama series.
-
B.
Ginger Me
"Ginger Me" is a popular Afrobeats song by Nigerian singer Rema, known for its smooth melodies and romantic, laid-back vibe.
-
C.
Mother Ginger
Mother Ginger is a mysterious and initially menacing yet ultimately sympathetic figure who rules the Land of Amusements in Disney’s fantasy film "The Nutcracker and the Four Realms."
-
D.
Auntie Gin
Auntie Gin is a relative referenced in the lyrics of Paul McCartney and Wings' song "Let 'Em In."
-
E.
Ginger
Ginger is the brave and resourceful lead hen from the animated film "Chicken Run," known for masterminding escape plans from the farm.
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ed7732c8190a0e7aec6e7cbcef2 |
completed | April 21, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099ee66f408190962424b053ad54cc |
completed | May 17, 2026, 10:56 a.m. |
| NEDg | Description generation | batch_6a099f9aebe4819088658ad23f8f7876 |
completed | May 17, 2026, 10:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09a085b30081909b64de37f2faba35 |
completed | May 17, 2026, 11:03 a.m. |
Created at: April 16, 2026, 4:41 p.m.