Triple
T8963458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Gardner |
E214065
|
entity |
| Predicate | nameSharesWith |
P15168
|
FINISHED |
| Object |
Mark Gardner (ice hockey)
Mark Gardner (ice hockey) is a former professional ice hockey player known for his career in North American leagues.
|
E770098
|
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: Mark Gardner (ice hockey) | Statement: [Mark Gardner, nameSharesWith, Mark Gardner (ice hockey)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Gardner (ice hockey) Context triple: [Mark Gardner, nameSharesWith, Mark Gardner (ice hockey)]
-
A.
Tim Gardner
Tim Gardner is a neuroscientist and entrepreneur known for co-founding Neuralink, a company developing advanced brain–computer interface technology.
-
B.
Mark Gardner (baseball player)
Mark Gardner is a former Major League Baseball pitcher, best known for his tenure with the Montreal Expos and San Francisco Giants during the 1990s.
-
C.
Greg Gardiner
Greg Gardiner is a film cinematographer best known for his work on the popular Christmas comedy movie "Elf."
-
D.
Rem Pitlick
Rem Pitlick is an American professional ice hockey forward who has played in the NHL for multiple teams, known for his offensive skill and speed.
-
E.
Randy Ambrosie
Randy Ambrosie is a Canadian sports executive and former CFL offensive lineman who serves as the commissioner of the Canadian Football League.
- 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: Mark Gardner (ice hockey) Triple: [Mark Gardner, nameSharesWith, Mark Gardner (ice hockey)]
Generated description
Mark Gardner (ice hockey) is a former professional ice hockey player known for his career in North American leagues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Gardner (ice hockey) Target entity description: Mark Gardner (ice hockey) is a former professional ice hockey player known for his career in North American leagues.
-
A.
Tim Gardner
Tim Gardner is a neuroscientist and entrepreneur known for co-founding Neuralink, a company developing advanced brain–computer interface technology.
-
B.
Mark Gardner (baseball player)
Mark Gardner is a former Major League Baseball pitcher, best known for his tenure with the Montreal Expos and San Francisco Giants during the 1990s.
-
C.
Greg Gardiner
Greg Gardiner is a film cinematographer best known for his work on the popular Christmas comedy movie "Elf."
-
D.
Rem Pitlick
Rem Pitlick is an American professional ice hockey forward who has played in the NHL for multiple teams, known for his offensive skill and speed.
-
E.
Randy Ambrosie
Randy Ambrosie is a Canadian sports executive and former CFL offensive lineman who serves as the commissioner of the Canadian Football League.
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc674b06f08190b2d992674a093592 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc9512eec8190963aa68108691f7f |
completed | April 3, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69cfcb178d488190ab8ea897f964c10a |
completed | April 3, 2026, 2:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfcc1bb3248190ac94ed37be2dcde4 |
completed | April 3, 2026, 2:18 p.m. |
Created at: March 30, 2026, 7:01 p.m.