Triple
T10616697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenner, Louisiana |
E276138
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Michael S. Glaser
Michael S. Glaser is an American local politician who serves as the mayor of Kenner, Louisiana.
|
E876057
|
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: Michael S. Glaser | Statement: [Kenner, Louisiana, hasMayor, Michael S. Glaser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael S. Glaser Context triple: [Kenner, Louisiana, hasMayor, Michael S. Glaser]
-
A.
Michael D. Rosenthal
Michael D. Rosenthal is a writer best known as the author whose work inspired the "Twilight Zone" episode "A Kind of Stopwatch."
-
B.
Michael Sacks
Michael Sacks is an American actor best known for his role as Billy Pilgrim in the film adaptation of Kurt Vonnegut’s "Slaughterhouse-Five."
-
C.
Michael S. Glick
Michael S. Glick is a film producer best known for his work on the 1982 sports comedy-drama "Six Pack."
-
D.
Daniel Scharf
Daniel Scharf is a film producer best known for his work on the influential 1992 Australian drama "Romper Stomper."
-
E.
Mark Saul
Mark Saul is an American actor and musician best known for his work on television, including sketch comedy and drama series roles.
- 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: Michael S. Glaser Triple: [Kenner, Louisiana, hasMayor, Michael S. Glaser]
Generated description
Michael S. Glaser is an American local politician who serves as the mayor of Kenner, Louisiana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael S. Glaser Target entity description: Michael S. Glaser is an American local politician who serves as the mayor of Kenner, Louisiana.
-
A.
Michael D. Rosenthal
Michael D. Rosenthal is a writer best known as the author whose work inspired the "Twilight Zone" episode "A Kind of Stopwatch."
-
B.
Michael Sacks
Michael Sacks is an American actor best known for his role as Billy Pilgrim in the film adaptation of Kurt Vonnegut’s "Slaughterhouse-Five."
-
C.
Michael S. Glick
Michael S. Glick is a film producer best known for his work on the 1982 sports comedy-drama "Six Pack."
-
D.
Daniel Scharf
Daniel Scharf is a film producer best known for his work on the influential 1992 Australian drama "Romper Stomper."
-
E.
Mark Saul
Mark Saul is an American actor and musician best known for his work on television, including sketch comedy and drama series roles.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df6e2df4819099a19b59d90d0dd1 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b7bb7108190b0f1cbe4117abec0 |
completed | April 10, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69d96dee84f48190bf5b0cb1115a8bba |
completed | April 10, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9708824208190acf75933962d690f |
completed | April 10, 2026, 9:50 p.m. |
Created at: April 8, 2026, 7:33 p.m.