Triple
T16375232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Like It Here |
E397661
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object |
Mike Maher
Mike Maher is an American jazz trumpeter and composer best known as a member of the genre-blending ensemble Snarky Puppy.
|
E1210535
|
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: Mike Maher | Statement: [We Like It Here, performer, Mike Maher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Maher Context triple: [We Like It Here, performer, Mike Maher]
-
A.
Michael Maher
Michael Maher is a film producer known for his work on the movie "Passengers."
-
B.
William Maher
William Maher is an American comedian, political commentator, and television host best known for his satirical talk show "Real Time with Bill Maher."
-
C.
Sean Maher
Sean Maher is an American actor best known for playing Dr. Simon Tam in the television series "Firefly" and its film continuation "Serenity."
-
D.
Bill Maher
Bill Maher is an American comedian, political commentator, and television host known for his satirical takes on religion and politics, particularly through his show "Real Time with Bill Maher."
-
E.
Kevin Maher
Kevin Maher is an English former professional footballer and current football manager best known for his long association with Southend United.
- 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: Mike Maher Triple: [We Like It Here, performer, Mike Maher]
Generated description
Mike Maher is an American jazz trumpeter and composer best known as a member of the genre-blending ensemble Snarky Puppy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Maher Target entity description: Mike Maher is an American jazz trumpeter and composer best known as a member of the genre-blending ensemble Snarky Puppy.
-
A.
Michael Maher
Michael Maher is a film producer known for his work on the movie "Passengers."
-
B.
William Maher
William Maher is an American comedian, political commentator, and television host best known for his satirical talk show "Real Time with Bill Maher."
-
C.
Sean Maher
Sean Maher is an American actor best known for playing Dr. Simon Tam in the television series "Firefly" and its film continuation "Serenity."
-
D.
Bill Maher
Bill Maher is an American comedian, political commentator, and television host known for his satirical takes on religion and politics, particularly through his show "Real Time with Bill Maher."
-
E.
Kevin Maher
Kevin Maher is an English former professional footballer and current football manager best known for his long association with Southend United.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319d6942081909616a2c6efee9967 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003561f83481909223c99bb83ebdf4 |
completed | May 10, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a0036f14bfc81909ea14a333c296187 |
completed | May 10, 2026, 7:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003785b9d881908049867524345e06 |
completed | May 10, 2026, 7:45 a.m. |
Created at: April 10, 2026, 5:08 a.m.