Triple
T12234126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardline |
E291548
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Michael T. Ross
Michael T. Ross is an American rock keyboardist known for his work with bands such as Hardline and Lita Ford.
|
E971927
|
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: Michael T. Ross | Statement: [Hardline, hasMember, Michael T. Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael T. Ross Context triple: [Hardline, hasMember, Michael T. Ross]
-
A.
Michael D. Rosenthal
Michael D. Rosenthal is a writer best known as the author whose work inspired the "Twilight Zone" episode "A Kind of Stopwatch."
-
B.
Jeffrey Cohen
Jeffrey Cohen is a songwriter best known for co-writing the theme song to the James Bond film "Licence to Kill."
-
C.
Kevin A. Ross
Kevin A. Ross is an American television personality and former judge best known for presiding over the syndicated courtroom show "America’s Court with Judge Ross."
-
D.
Andy Kindler
Andy Kindler is an American stand-up comedian and actor known for his acerbic, self-referential humor and frequent critiques of the comedy industry.
-
E.
Brett M. Taylor
Brett M. Taylor is an American politician serving as the mayor of Provo, Utah.
- 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: Michael T. Ross Triple: [Hardline, hasMember, Michael T. Ross]
Generated description
Michael T. Ross is an American rock keyboardist known for his work with bands such as Hardline and Lita Ford.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael T. Ross Target entity description: Michael T. Ross is an American rock keyboardist known for his work with bands such as Hardline and Lita Ford.
-
A.
Michael D. Rosenthal
Michael D. Rosenthal is a writer best known as the author whose work inspired the "Twilight Zone" episode "A Kind of Stopwatch."
-
B.
Jeffrey Cohen
Jeffrey Cohen is a songwriter best known for co-writing the theme song to the James Bond film "Licence to Kill."
-
C.
Kevin A. Ross
Kevin A. Ross is an American television personality and former judge best known for presiding over the syndicated courtroom show "America’s Court with Judge Ross."
-
D.
Andy Kindler
Andy Kindler is an American stand-up comedian and actor known for his acerbic, self-referential humor and frequent critiques of the comedy industry.
-
E.
Brett M. Taylor
Brett M. Taylor is an American politician serving as the mayor of Provo, Utah.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca5a06481908c7c6b715b9f6713 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aaf7b348190865a6a1b6de51753 |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f60f2154c8819081f9cf6f51e5255b |
completed | May 2, 2026, 2:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60fe8c2ec8190af7c69dd17ea75fe |
completed | May 2, 2026, 2:53 p.m. |
Created at: April 8, 2026, 9:51 p.m.