Triple
T1641918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Bay Packers |
E35491
|
entity |
| Predicate | headCoach |
P256
|
FINISHED |
| Object |
Matt LaFleur
Matt LaFleur is an American football coach best known for leading the NFL’s Green Bay Packers as their head coach.
|
E186561
|
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 LaFleur | Statement: [Green Bay Packers, headCoach, Matt LaFleur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt LaFleur Context triple: [Green Bay Packers, headCoach, Matt LaFleur]
-
A.
Brian Daboll
Brian Daboll is an American football coach best known for leading the New York Giants as their head coach after previously serving as a successful offensive coordinator in the NFL.
-
B.
Jack Daboll
Jack Daboll is a member of the Daboll family, related to NFL head coach Brian Daboll.
-
C.
Christian Daboll
Christian Daboll is a member of the Daboll family, related to NFL head coach Brian Daboll.
-
D.
Luke Daboll
Luke Daboll is a member of the Daboll family, known primarily as a relative of NFL head coach Brian Daboll.
-
E.
Kliff Kingsbury
Kliff Kingsbury is an American football coach and former NFL quarterback best known for his innovative Air Raid–style offenses in both college and professional football.
- 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 LaFleur Triple: [Green Bay Packers, headCoach, Matt LaFleur]
Generated description
Matt LaFleur is an American football coach best known for leading the NFL’s Green Bay Packers as their head coach.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt LaFleur Target entity description: Matt LaFleur is an American football coach best known for leading the NFL’s Green Bay Packers as their head coach.
-
A.
Brian Daboll
Brian Daboll is an American football coach best known for leading the New York Giants as their head coach after previously serving as a successful offensive coordinator in the NFL.
-
B.
Jack Daboll
Jack Daboll is a member of the Daboll family, related to NFL head coach Brian Daboll.
-
C.
Christian Daboll
Christian Daboll is a member of the Daboll family, related to NFL head coach Brian Daboll.
-
D.
Luke Daboll
Luke Daboll is a member of the Daboll family, known primarily as a relative of NFL head coach Brian Daboll.
-
E.
Kliff Kingsbury
Kliff Kingsbury is an American football coach and former NFL quarterback best known for his innovative Air Raid–style offenses in both college and professional football.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a3e254081908b7c4a9dfeafc4f8 |
completed | March 5, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad60a0096c81909dc723d0db95481e |
completed | March 8, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_69ad620fe35481909bf4751001e29161 |
completed | March 8, 2026, 11:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad626d42388190b6a961a84333bd21 |
completed | March 8, 2026, 11:50 a.m. |
Created at: March 4, 2026, 7:28 p.m.