Triple
T16670466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L.A. Guns |
E405093
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Danny Nordahl
Danny Nordahl is an American rock bassist best known for his work with the hard rock band L.A. Guns and other acts in the Los Angeles rock scene.
|
E1227208
|
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: Danny Nordahl | Statement: [L.A. Guns, hasMember, Danny Nordahl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Nordahl Context triple: [L.A. Guns, hasMember, Danny Nordahl]
-
A.
Derek Roy
Derek Roy is a Canadian former professional ice hockey centre who played over a decade in the NHL, most prominently with the Buffalo Sabres.
-
B.
Erik Johnson
Erik Johnson is a film and television producer known for his work on the series "Homecoming."
-
C.
Sean Avery
Sean Avery is a former Canadian professional ice hockey player best known for his agitator role in the NHL and later work in media and entertainment.
-
D.
Lewis Hammerson
Lewis Hammerson was a British property developer and entrepreneur best known for establishing the Hammerson property investment and development company.
-
E.
Michael Nolin
Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
- 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: Danny Nordahl Triple: [L.A. Guns, hasMember, Danny Nordahl]
Generated description
Danny Nordahl is an American rock bassist best known for his work with the hard rock band L.A. Guns and other acts in the Los Angeles rock scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danny Nordahl Target entity description: Danny Nordahl is an American rock bassist best known for his work with the hard rock band L.A. Guns and other acts in the Los Angeles rock scene.
-
A.
Derek Roy
Derek Roy is a Canadian former professional ice hockey centre who played over a decade in the NHL, most prominently with the Buffalo Sabres.
-
B.
Erik Johnson
Erik Johnson is a film and television producer known for his work on the series "Homecoming."
-
C.
Sean Avery
Sean Avery is a former Canadian professional ice hockey player best known for his agitator role in the NHL and later work in media and entertainment.
-
D.
Lewis Hammerson
Lewis Hammerson was a British property developer and entrepreneur best known for establishing the Hammerson property investment and development company.
-
E.
Michael Nolin
Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
- 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.