Triple
T14630864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PCU |
E343473
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Gale Mayron
Gale Mayron is an American actress best known for her role in the 1994 college comedy film "PCU."
|
E1109560
|
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: Gale Mayron | Statement: [PCU, stars, Gale Mayron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gale Mayron Context triple: [PCU, stars, Gale Mayron]
-
A.
Gale Hansen
Gale Hansen is an American actor best known for his role as Charlie Dalton in the 1989 film "Dead Poets Society."
-
B.
Shelley Meyer
Shelley Meyer is an American nurse and mental health advocate best known as the wife of former college football coach Urban Meyer and for her public role supporting players’ families and wellness initiatives.
-
C.
Glena Goranson
Glena Goranson is the longtime wife of NFL coach Pete Carroll, known for her low public profile despite her husband’s high-profile football career.
-
D.
Milynn Sarley
Milynn Sarley is an American actress and internet personality known for her roles in low-budget fantasy and action films as well as her presence in online geek and gaming communities.
-
E.
Gale Howard
Gale Howard is best known as the wife of English actor and political activist Tony Booth.
- 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: Gale Mayron Triple: [PCU, stars, Gale Mayron]
Generated description
Gale Mayron is an American actress best known for her role in the 1994 college comedy film "PCU."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gale Mayron Target entity description: Gale Mayron is an American actress best known for her role in the 1994 college comedy film "PCU."
-
A.
Gale Hansen
Gale Hansen is an American actor best known for his role as Charlie Dalton in the 1989 film "Dead Poets Society."
-
B.
Shelley Meyer
Shelley Meyer is an American nurse and mental health advocate best known as the wife of former college football coach Urban Meyer and for her public role supporting players’ families and wellness initiatives.
-
C.
Glena Goranson
Glena Goranson is the longtime wife of NFL coach Pete Carroll, known for her low public profile despite her husband’s high-profile football career.
-
D.
Milynn Sarley
Milynn Sarley is an American actress and internet personality known for her roles in low-budget fantasy and action films as well as her presence in online geek and gaming communities.
-
E.
Gale Howard
Gale Howard is best known as the wife of English actor and political activist Tony Booth.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a912248190a3df7f821395c776 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda92ded848190b031d3ff29e54a00 |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb0859cfc8190b0061c2e7c629260 |
completed | May 8, 2026, 9:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb14346508190afc3067469412efb |
completed | May 8, 2026, 9:47 a.m. |
Created at: April 10, 2026, 1:26 a.m.