Triple
T14862178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coleman Medal |
E349521
|
entity |
| Predicate | notableMultipleWinner |
P6588
|
FINISHED |
| Object |
Matthew Lloyd
Matthew Lloyd is a former Australian rules footballer renowned as one of the AFL’s greatest modern full-forwards, celebrated for his prolific goal kicking with Essendon.
|
E1134178
|
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: Matthew Lloyd | Statement: [Coleman Medal, notableMultipleWinner, Matthew Lloyd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Lloyd Context triple: [Coleman Medal, notableMultipleWinner, Matthew Lloyd]
-
A.
Matthew J. Lloyd
Matthew J. Lloyd is a cinematographer known for his work on feature films and television, including serving as director of photography on the 2023 film "Origin."
-
B.
Matthew Rolph
Matthew Rolph is an American actor and comedian best known for his marriage to actress and comedian Mary Lynn Rajskub.
-
C.
Michael Lloyd
Michael Lloyd is an American record producer best known for his work on hit film soundtracks and numerous pop and rock recordings from the 1970s and 1980s.
-
D.
Matthew Rundell
Matthew Rundell is a film editor known for his work on the action drama movie "Mercury Plains."
-
E.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
- 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: Matthew Lloyd Triple: [Coleman Medal, notableMultipleWinner, Matthew Lloyd]
Generated description
Matthew Lloyd is a former Australian rules footballer renowned as one of the AFL’s greatest modern full-forwards, celebrated for his prolific goal kicking with Essendon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthew Lloyd Target entity description: Matthew Lloyd is a former Australian rules footballer renowned as one of the AFL’s greatest modern full-forwards, celebrated for his prolific goal kicking with Essendon.
-
A.
Matthew J. Lloyd
Matthew J. Lloyd is a cinematographer known for his work on feature films and television, including serving as director of photography on the 2023 film "Origin."
-
B.
Matthew Rolph
Matthew Rolph is an American actor and comedian best known for his marriage to actress and comedian Mary Lynn Rajskub.
-
C.
Michael Lloyd
Michael Lloyd is an American record producer best known for his work on hit film soundtracks and numerous pop and rock recordings from the 1970s and 1980s.
-
D.
Matthew Rundell
Matthew Rundell is a film editor known for his work on the action drama movie "Mercury Plains."
-
E.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded573cba881908d6d9ac570a64e5f |
completed | April 15, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dbf1f5c8190ad4626d14e0d8109 |
completed | May 9, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fea10834ac8190b4fbd0a165439110 |
completed | May 9, 2026, 2:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea19745c08190b0efd33ee3f97fe1 |
completed | May 9, 2026, 2:53 a.m. |
Created at: April 10, 2026, 1:54 a.m.