Triple
T9429328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michels |
E227331
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Danny Michels
Danny Michels is an individual notable enough to be recognized as a namesake of the surname Michels.
|
E800523
|
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: Danny Michels | Statement: [Michels, hasNotableBearer, Danny Michels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Michels Context triple: [Michels, hasNotableBearer, Danny Michels]
-
A.
Michael Andlauer
Michael Andlauer is a Canadian businessman and sports executive best known as the owner of the NHL’s Ottawa Senators and a longtime figure in professional hockey ownership.
-
B.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
C.
John Luessenhop
John Luessenhop is an American film director and screenwriter best known for helming genre and action films, including the horror sequel "Texas Chainsaw 3D."
-
D.
Dan Jinks
Dan Jinks is an American film and television producer best known for acclaimed movies such as "American Beauty" and "Big Fish."
-
E.
Daryl Messinger
Daryl Messinger is a prominent Jewish lay leader who served as the first female chair of the Union for Reform Judaism’s North American board.
- 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: Danny Michels Triple: [Michels, hasNotableBearer, Danny Michels]
Generated description
Danny Michels is an individual notable enough to be recognized as a namesake of the surname Michels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danny Michels Target entity description: Danny Michels is an individual notable enough to be recognized as a namesake of the surname Michels.
-
A.
Michael Andlauer
Michael Andlauer is a Canadian businessman and sports executive best known as the owner of the NHL’s Ottawa Senators and a longtime figure in professional hockey ownership.
-
B.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
C.
John Luessenhop
John Luessenhop is an American film director and screenwriter best known for helming genre and action films, including the horror sequel "Texas Chainsaw 3D."
-
D.
Dan Jinks
Dan Jinks is an American film and television producer best known for acclaimed movies such as "American Beauty" and "Big Fish."
-
E.
Daryl Messinger
Daryl Messinger is a prominent Jewish lay leader who served as the first female chair of the Union for Reform Judaism’s North American board.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c94719c81909d7743a57c45e07f |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1223d3cd8819089fec4c895125049 |
completed | April 4, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69d1233a63d481908e322b7e86b5d124 |
completed | April 4, 2026, 2:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d123d32c808190985da2639d2120f7 |
completed | April 4, 2026, 2:44 p.m. |
Created at: March 30, 2026, 7:49 p.m.