Triple
T19629034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mask (comic book series) |
E471215
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Kathy
Kathy is the central protagonist of the comic book series "The Mask," around whom the story’s chaotic, reality-bending events revolve.
|
E1386437
|
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: Kathy | Statement: [The Mask (comic book series), mainCharacter, Kathy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kathy Context triple: [The Mask (comic book series), mainCharacter, Kathy]
-
A.
Kathy
Kathy is the given name of Kathy Hochul, the 57th governor of New York and the first woman to hold that office.
-
B.
Kathy
Kathy is a feminine given name commonly used in English-speaking countries, often as a diminutive of Katherine or Kathleen.
-
C.
Kathie
Kathie is the romantic heroine of the operetta and film "The Student Prince," known for her love story with the prince who studies incognito at Heidelberg.
-
D.
Kathleen
Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
-
E.
Kathleen
"Kathleen" is a punk rock song by the American band Pinhead Gunpowder, known for its raw, melodic style and association with the East Bay punk scene.
- 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: Kathy Triple: [The Mask (comic book series), mainCharacter, Kathy]
Generated description
Kathy is the central protagonist of the comic book series "The Mask," around whom the story’s chaotic, reality-bending events revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kathy Target entity description: Kathy is the central protagonist of the comic book series "The Mask," around whom the story’s chaotic, reality-bending events revolve.
-
A.
Kathy
Kathy is the given name of Kathy Hochul, the 57th governor of New York and the first woman to hold that office.
-
B.
Kathy
Kathy is a feminine given name commonly used in English-speaking countries, often as a diminutive of Katherine or Kathleen.
-
C.
Kathie
Kathie is the romantic heroine of the operetta and film "The Student Prince," known for her love story with the prince who studies incognito at Heidelberg.
-
D.
Kathleen
Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
-
E.
Kathleen
"Kathleen" is a punk rock song by the American band Pinhead Gunpowder, known for its raw, melodic style and association with the East Bay punk scene.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64101a0448190ba19f8917ae85dd6 |
completed | April 20, 2026, 3:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0771c20d8081909095444afe673e09 |
completed | May 15, 2026, 7:19 p.m. |
| NEDg | Description generation | batch_6a07727e9cd48190b5a83d0bf8805170 |
completed | May 15, 2026, 7:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0773021f788190aaeb3a6831ded005 |
completed | May 15, 2026, 7:24 p.m. |
Created at: April 10, 2026, 1:44 p.m.