Triple
T27165274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolf Pack |
E682764
|
entity |
| Predicate | Sarah Michelle GellarRole |
P9616
|
FINISHED |
| Object |
Kristen Ramsey
Kristen Ramsey is a central character in the supernatural teen drama series "Wolf Pack," portrayed by actress Sarah Michelle Gellar.
|
E1759664
|
NE FINISHED |
How this triple was built (3 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: Kristen Ramsey | Statement: [Wolf Pack, Sarah Michelle GellarRole, Kristen Ramsey]
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: Kristen Ramsey Triple: [Wolf Pack, Sarah Michelle GellarRole, Kristen Ramsey]
Generated description
Kristen Ramsey is a central character in the supernatural teen drama series "Wolf Pack," portrayed by actress Sarah Michelle Gellar.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Sarah Michelle GellarRole Context triple: [Wolf Pack, Sarah Michelle GellarRole, Kristen Ramsey]
-
A.
Kim CattrallRole
Indicates that Kim Cattrall played a specific role or character in a work such as a film, TV show, or stage production.
-
B.
creditedRoleOf
Indicates that a particular role or position is formally acknowledged as being held or performed by a specific entity in a credit or attribution context.
-
C.
playedBy
chosen
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
-
D.
MarilynMonroeRoleType
Indicates the type or category of role associated with Marilyn Monroe in a given context.
-
E.
leadActress
Indicates that the subject is the primary female performer in the specified film, show, or production.
- F. None of above.
Provenance (6 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_69eefacf6e788190a75a64399d9e3109 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62541e49c8190ae9f30f48a30f814 |
completed | May 2, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a125382a26081909186173b697c3c3a |
completed | May 24, 2026, 1:25 a.m. |
| NEDg | Description generation | batch_6a125433c0288190ab1e54c3d763468d |
completed | May 24, 2026, 1:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1254f46d288190aa6f45f8c8e9007d |
completed | May 24, 2026, 1:31 a.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 9:20 a.m.