Triple
T16889819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2011 NHL All-Star Game |
E421636
|
entity |
| Predicate | alternateCaptainTeamStaal |
P124865
|
FINISHED |
| Object |
Mike Green
Mike Green is a Canadian former professional ice hockey defenseman best known for his high-scoring seasons with the Washington Capitals in the NHL.
|
E1240523
|
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: Mike Green | Statement: [2011 NHL All-Star Game, alternateCaptainTeamStaal, Mike Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Green Context triple: [2011 NHL All-Star Game, alternateCaptainTeamStaal, Mike Green]
-
A.
Mike Green
Mike Green is a relatively obscure individual known primarily through a spatial or contextual association with Nan White.
-
B.
Mike Preston
Mike Preston is a character known for appearing alongside Jacob King, likely within a shared narrative such as a film, television series, or other fictional work.
-
C.
Scott Green
Scott Green is a former National Football League official best known for serving as a referee in multiple Super Bowls.
-
D.
Scott Green
Scott Green is an American higher-education administrator and business executive who serves as president of the University of Idaho.
-
E.
Kevin Gerrity
Kevin Gerrity is a supporting character in the comedy film "Big Daddy," known as one of Sonny Koufax’s close friends.
- 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: Mike Green Triple: [2011 NHL All-Star Game, alternateCaptainTeamStaal, Mike Green]
Generated description
Mike Green is a Canadian former professional ice hockey defenseman best known for his high-scoring seasons with the Washington Capitals in the NHL.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Green Target entity description: Mike Green is a Canadian former professional ice hockey defenseman best known for his high-scoring seasons with the Washington Capitals in the NHL.
-
A.
Mike Green
Mike Green is a relatively obscure individual known primarily through a spatial or contextual association with Nan White.
-
B.
Mike Preston
Mike Preston is a character known for appearing alongside Jacob King, likely within a shared narrative such as a film, television series, or other fictional work.
-
C.
Scott Green
Scott Green is a former National Football League official best known for serving as a referee in multiple Super Bowls.
-
D.
Scott Green
Scott Green is an American higher-education administrator and business executive who serves as president of the University of Idaho.
-
E.
Kevin Gerrity
Kevin Gerrity is a supporting character in the comedy film "Big Daddy," known as one of Sonny Koufax’s close friends.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc3b5188190ac713b4d4166e961 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7a7fd8481908ef82a13418b1c2d |
completed | May 10, 2026, 6 p.m. |
| NEDg | Description generation | batch_6a00c8f445248190be5f3de196e40f1f |
completed | May 10, 2026, 6:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00cd2bbd9881909f5e216cb6262a72 |
completed | May 10, 2026, 6:23 p.m. |
Created at: April 10, 2026, 5:29 a.m.