Triple
T14553247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Never Take Friendship Personal |
E341472
|
entity |
| Predicate | hasMusicalArtist |
P9648
|
FINISHED |
| Object |
Nathan Young
Nathan Young is a musician known for his work associated with the rock band Anberlin.
|
E368551
|
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: Nathan Young | Statement: [Never Take Friendship Personal, hasMusicalArtist, Nathan Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathan Young Context triple: [Never Take Friendship Personal, hasMusicalArtist, Nathan Young]
-
A.
Nathan Young
Nathan Young is a musician best known as a member of the American alternative rock band Anberlin, where he serves as the drummer.
-
B.
Nathan Bexton
Nathan Bexton is an American actor best known for his role in the 2000 teen thriller film "The In Crowd."
-
C.
Nathan Nugent
Nathan Nugent is a film editor known for his work on acclaimed independent and international films, including collaborations with director Sebastián Lelio.
-
D.
Nathan Ellis
Nathan Ellis is a musician best known as a member of the indie rock band The Casket Lottery.
-
E.
Nathan Keller
Nathan Keller is an Israeli mathematician and cryptographer known for his work in discrete mathematics, Boolean functions, and the analysis of cryptographic algorithms.
- 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: Nathan Young Triple: [Never Take Friendship Personal, hasMusicalArtist, Nathan Young]
Generated description
Nathan Young is a musician known for his work associated with the rock band Anberlin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nathan Young Target entity description: Nathan Young is a musician known for his work associated with the rock band Anberlin.
-
A.
Nathan Young
chosen
Nathan Young is a musician best known as a member of the American alternative rock band Anberlin, where he serves as the drummer.
-
B.
Nathan Bexton
Nathan Bexton is an American actor best known for his role in the 2000 teen thriller film "The In Crowd."
-
C.
Nathan Nugent
Nathan Nugent is a film editor known for his work on acclaimed independent and international films, including collaborations with director Sebastián Lelio.
-
D.
Nathan Ellis
Nathan Ellis is a musician best known as a member of the indie rock band The Casket Lottery.
-
E.
Nathan Keller
Nathan Keller is an Israeli mathematician and cryptographer known for his work in discrete mathematics, Boolean functions, and the analysis of cryptographic algorithms.
- F. None of above.
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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f00cec8190a7b6482d18b9a216 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b3da8f08190b70b08532dfc22ba |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6ca6ac348190a6cad17523489561 |
completed | May 8, 2026, 11:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6de49480819087b36c070c434bf7 |
completed | May 8, 2026, 11:12 p.m. |
Created at: April 10, 2026, 1:23 a.m.