Triple
T3587950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princeton Tigers men’s lacrosse |
E75955
|
entity |
| Predicate | headCoach |
P256
|
FINISHED |
| Object |
Matt Madalon
Matt Madalon is an American lacrosse coach best known for leading the Princeton University men's lacrosse program.
|
E371590
|
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: Matt Madalon | Statement: [Princeton Tigers men’s lacrosse, headCoach, Matt Madalon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Madalon Context triple: [Princeton Tigers men’s lacrosse, headCoach, Matt Madalon]
-
A.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
B.
Matthew Mottola
Matthew Mottola is the son of music executive Tommy Mottola.
-
C.
Paul Cantelon
Paul Cantelon is an American composer and multi-instrumentalist known for his film scores and work blending classical, jazz, and world music influences.
-
D.
Matthew Freund
Matthew Freund is a film editor known for his work on the comedy movie "Fist Fight."
-
E.
Matt Chesse
Matt Chesse is an American film editor known for his work on numerous feature films, including the thriller "Money Monster."
- 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: Matt Madalon Triple: [Princeton Tigers men’s lacrosse, headCoach, Matt Madalon]
Generated description
Matt Madalon is an American lacrosse coach best known for leading the Princeton University men's lacrosse program.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Madalon Target entity description: Matt Madalon is an American lacrosse coach best known for leading the Princeton University men's lacrosse program.
-
A.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
B.
Matthew Mottola
Matthew Mottola is the son of music executive Tommy Mottola.
-
C.
Paul Cantelon
Paul Cantelon is an American composer and multi-instrumentalist known for his film scores and work blending classical, jazz, and world music influences.
-
D.
Matthew Freund
Matthew Freund is a film editor known for his work on the comedy movie "Fist Fight."
-
E.
Matt Chesse
Matt Chesse is an American film editor known for his work on numerous feature films, including the thriller "Money Monster."
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc13a11608190a23d76efc1b50e3c |
completed | March 8, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b40304a2e08190bcf25ddaf2bc5a2a |
completed | March 13, 2026, 12:28 p.m. |
| NEDg | Description generation | batch_69b406f095488190b4543fa8008fe86c |
completed | March 13, 2026, 12:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b40872099c81909bc3531bea77f875 |
completed | March 13, 2026, 12:52 p.m. |
Created at: March 8, 2026, 3:22 p.m.