Triple
T17762684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnold Classic |
E443418
|
entity |
| Predicate | hasNotableWinner |
P2766
|
FINISHED |
| Object |
Branch Warren
Branch Warren is an American professional bodybuilder known for his rugged, muscular physique and multiple major bodybuilding titles, including two Arnold Classic championships.
|
E1286186
|
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: Branch Warren | Statement: [Arnold Classic, hasNotableWinner, Branch Warren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Branch Warren Context triple: [Arnold Classic, hasNotableWinner, Branch Warren]
-
A.
Warren
Warren is a rural town in the Orana region of New South Wales, Australia, known for its agriculture and proximity to the Macquarie River.
-
B.
Warren
Warren "Baby" Dodds was an influential early jazz drummer known for his pioneering work in New Orleans and Chicago jazz.
-
C.
Warren
Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, and other fields.
-
D.
Warren
Warren is a small city in northern Pennsylvania known for its historic downtown and location along the Allegheny River.
-
E.
Warren
Warren is a mid-sized industrial city in northeastern Ohio known historically for its role in the steel and automotive industries.
- 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: Branch Warren Triple: [Arnold Classic, hasNotableWinner, Branch Warren]
Generated description
Branch Warren is an American professional bodybuilder known for his rugged, muscular physique and multiple major bodybuilding titles, including two Arnold Classic championships.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Branch Warren Target entity description: Branch Warren is an American professional bodybuilder known for his rugged, muscular physique and multiple major bodybuilding titles, including two Arnold Classic championships.
-
A.
Warren
Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, and other fields.
-
B.
Warren
Warren is a mid-sized industrial city in northeastern Ohio known historically for its role in the steel and automotive industries.
-
C.
Warren
Warren "Baby" Dodds was an influential early jazz drummer known for his pioneering work in New Orleans and Chicago jazz.
-
D.
Warren
Warren is a large suburban city in southeast Michigan known for its extensive automotive and defense manufacturing industries.
-
E.
Warren
Warren is the given name of Warren Buffett, the renowned American investor and longtime CEO of Berkshire Hathaway.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485f887ac81908c896a50175692b9 |
completed | April 19, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02efbcd5948190882b2a138c064f3a |
completed | May 12, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_6a02f04731e8819092751711a70b4f1b |
completed | May 12, 2026, 9:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f116f4648190ac9ef1cc81bd032d |
completed | May 12, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:11 a.m.