Triple
T19001379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grease (1993 London production) |
E464960
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Marty
Marty is a supporting character in the musical "Grease," typically portrayed as one of the Pink Ladies and known for her flirtatious, glamorous personality.
|
E1353422
|
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: Marty | Statement: [Grease (1993 London production), featuresCharacter, Marty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marty Context triple: [Grease (1993 London production), featuresCharacter, Marty]
-
A.
Marty
Marty is a 1955 American romantic drama film that won the Academy Award for Best Picture and is renowned for its poignant portrayal of a lonely butcher’s search for love.
-
B.
Marty
Marty is a common diminutive form of the given name Martha.
-
C.
Marty
Marty is a surname of French origin, notably borne by figures such as André Marty, a prominent French communist and political activist.
-
D.
Marty
Marty is a central character in the 1996 ensemble drama film "Beautiful Girls," known for her youthful charm and pivotal role in the story’s exploration of love and growing up.
-
E.
Marty
Marty is a common diminutive form of the given name Martin, often used as a familiar or informal nickname.
- 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: Marty Triple: [Grease (1993 London production), featuresCharacter, Marty]
Generated description
Marty is a supporting character in the musical "Grease," typically portrayed as one of the Pink Ladies and known for her flirtatious, glamorous personality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marty Target entity description: Marty is a supporting character in the musical "Grease," typically portrayed as one of the Pink Ladies and known for her flirtatious, glamorous personality.
-
A.
Marty
Marty is a central character in the 1996 ensemble drama film "Beautiful Girls," known for her youthful charm and pivotal role in the story’s exploration of love and growing up.
-
B.
Marty
Marty is a common diminutive form of the given name Martha.
-
C.
Marty
Marty is a common diminutive form of the given name Martin, often used as a familiar or informal nickname.
-
D.
Marty
Marty is a 1955 American romantic drama film that won the Academy Award for Best Picture and is renowned for its poignant portrayal of a lonely butcher’s search for love.
-
E.
Marty
Marty is the commonly used nickname of Marty Schottenheimer, a prominent former NFL head coach known for his long tenure and regular-season success.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6863cf4819096e471d19f9a714c |
completed | April 20, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b45b9ca0819090a85f5708e9c632 |
completed | May 14, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a05b68205948190a6846e2cd8ba66ae |
completed | May 14, 2026, 11:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05b73aa91c8190abe816e72d2f56f7 |
completed | May 14, 2026, 11:51 a.m. |
Created at: April 10, 2026, 12:01 p.m.