Triple
T4161578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Low |
E91544
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Matt Hendrickson
Matt Hendrickson is a musician best known as a member of the indie rock band Low.
|
E417102
|
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: Matt Hendrickson | Statement: [Low, member, Matt Hendrickson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Hendrickson Context triple: [Low, member, Matt Hendrickson]
-
A.
Matt Eversmann
Matt Eversmann is a former U.S. Army Ranger sergeant known for his leadership during the 1993 Battle of Mogadishu, later depicted in the film "Black Hawk Down."
-
B.
Jabez Olssen
Jabez Olssen is a New Zealand film editor best known for his work on major Peter Jackson projects, including the Lord of the Rings and Hobbit film series.
-
C.
Nate Fox
Nate Fox is a hip-hop music producer known for his work with artists like Chance the Rapper, including contributions to the acclaimed mixtape "Acid Rap."
-
D.
Nick Hendricks
Nick Hendricks is a frustrated office worker from the dark comedy film "Horrible Bosses," who conspires with his friends to murder their abusive employers.
-
E.
Scott Bomar
Scott Bomar is an American composer, producer, and musician known for his soul- and blues-infused film scores and work with the Memphis-based group The Bo-Keys.
- 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: Matt Hendrickson Triple: [Low, member, Matt Hendrickson]
Generated description
Matt Hendrickson is a musician best known as a member of the indie rock band Low.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Hendrickson Target entity description: Matt Hendrickson is a musician best known as a member of the indie rock band Low.
-
A.
Matt Eversmann
Matt Eversmann is a former U.S. Army Ranger sergeant known for his leadership during the 1993 Battle of Mogadishu, later depicted in the film "Black Hawk Down."
-
B.
Jabez Olssen
Jabez Olssen is a New Zealand film editor best known for his work on major Peter Jackson projects, including the Lord of the Rings and Hobbit film series.
-
C.
Nate Fox
Nate Fox is a hip-hop music producer known for his work with artists like Chance the Rapper, including contributions to the acclaimed mixtape "Acid Rap."
-
D.
Nick Hendricks
Nick Hendricks is a frustrated office worker from the dark comedy film "Horrible Bosses," who conspires with his friends to murder their abusive employers.
-
E.
Scott Bomar
Scott Bomar is an American composer, producer, and musician known for his soul- and blues-infused film scores and work with the Memphis-based group The Bo-Keys.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02a6b5f48190bdabf988d23f6e97 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f42f2cc8190ae10ea12273c930a |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b5800a12e48190b184373464930b1e |
completed | March 14, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b580af3eb88190a89d5827e32293c1 |
completed | March 14, 2026, 3:37 p.m. |
Created at: March 9, 2026, 3:44 p.m.