Triple
T3797257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam Admirals |
E91601
|
entity |
| Predicate | headCoach |
P256
|
FINISHED |
| Object |
Al Luginbill
Al Luginbill is an American football coach best known for his leadership roles in NFL Europe and college football programs.
|
E389115
|
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: Al Luginbill | Statement: [Amsterdam Admirals, headCoach, Al Luginbill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Luginbill Context triple: [Amsterdam Admirals, headCoach, Al Luginbill]
-
A.
Gillam
Gillam is a small remote community in northern Manitoba, Canada, known as a service and access point for nearby wilderness areas and hydroelectric developments.
-
B.
Al Lith
Al Lith is a coastal city in western Saudi Arabia on the Red Sea, known as a fishing port and gateway to nearby islands and marine reserves.
-
C.
Bille
The Bille is a small river in northern Germany that flows through the city of Hamburg and into the Elbe.
-
D.
Blagg
Blagg is a variant form of the surname "Black," typically arising as an alternative spelling in English-speaking regions.
-
E.
Hunte
The Hunte is a river in northwestern Germany that flows through Lower Saxony before joining the Weser.
- 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: Al Luginbill Triple: [Amsterdam Admirals, headCoach, Al Luginbill]
Generated description
Al Luginbill is an American football coach best known for his leadership roles in NFL Europe and college football programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al Luginbill Target entity description: Al Luginbill is an American football coach best known for his leadership roles in NFL Europe and college football programs.
-
A.
Gillam
Gillam is a small remote community in northern Manitoba, Canada, known as a service and access point for nearby wilderness areas and hydroelectric developments.
-
B.
Al Lith
Al Lith is a coastal city in western Saudi Arabia on the Red Sea, known as a fishing port and gateway to nearby islands and marine reserves.
-
C.
Bille
The Bille is a small river in northern Germany that flows through the city of Hamburg and into the Elbe.
-
D.
Blagg
Blagg is a variant form of the surname "Black," typically arising as an alternative spelling in English-speaking regions.
-
E.
Hunte
The Hunte is a river in northwestern Germany that flows through Lower Saxony before joining the Weser.
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee7a0818481909460197929ebb8e4 |
completed | March 9, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f061a9e481908d16ae0aa44e2f16 |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f25fab648190abbded4d44357c54 |
completed | March 14, 2026, 5:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f314a63c8190a76ed8f4bd21eaf5 |
completed | March 14, 2026, 5:33 a.m. |
Created at: March 9, 2026, 3:15 p.m.