Triple
T16670479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L.A. Guns |
E405093
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Michael Grant
Michael Grant is an American rock guitarist and singer best known for his work with the hard rock band L.A. Guns.
|
E1227213
|
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 Grant | Statement: [L.A. Guns, hasMember, Michael Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Grant Context triple: [L.A. Guns, hasMember, Michael Grant]
-
A.
Michael Grant
Michael Grant is a relatively private individual best known in public records as the former husband of Athena Grant.
-
B.
Austin Grossman
Austin Grossman is an American novelist and video game designer known for his work on narrative-driven games such as System Shock, Deus Ex, and Dishonored.
-
C.
Patrick Ness
Patrick Ness is an acclaimed American-born British author best known for his young adult novels such as the "Chaos Walking" trilogy and "A Monster Calls."
-
D.
Greg Grabianski
Greg Grabianski is a screenwriter best known for his work on the parody horror-comedy film "Scary Movie 2."
-
E.
Paul Brooks
Paul Brooks is known primarily as the husband of civil rights activist and Freedom Rider Catherine Burks-Brooks.
- 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 Grant Triple: [L.A. Guns, hasMember, Michael Grant]
Generated description
Michael Grant is an American rock guitarist and singer best known for his work with the hard rock band L.A. Guns.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Grant Target entity description: Michael Grant is an American rock guitarist and singer best known for his work with the hard rock band L.A. Guns.
-
A.
Michael Grant
Michael Grant is a relatively private individual best known in public records as the former husband of Athena Grant.
-
B.
Austin Grossman
Austin Grossman is an American novelist and video game designer known for his work on narrative-driven games such as System Shock, Deus Ex, and Dishonored.
-
C.
Patrick Ness
Patrick Ness is an acclaimed American-born British author best known for his young adult novels such as the "Chaos Walking" trilogy and "A Monster Calls."
-
D.
Greg Grabianski
Greg Grabianski is a screenwriter best known for his work on the parody horror-comedy film "Scary Movie 2."
-
E.
Paul Brooks
Paul Brooks is known primarily as the husband of civil rights activist and Freedom Rider Catherine Burks-Brooks.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca079ec819090b356c86a9241cc |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3692588190a94d349cb63d9749 |
completed | May 10, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a008ad087b08190b725382c68687a15 |
completed | May 10, 2026, 1:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008ba8227881908b1ac6e30d2e7c32 |
completed | May 10, 2026, 1:44 p.m. |
Created at: April 10, 2026, 5:18 a.m.