Triple
T2267884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Marr |
E50189
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Marr
Marr is a Scottish surname most prominently associated with British journalist and broadcaster Andrew Marr.
|
E249903
|
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: Marr | Statement: [Andrew Marr, familyName, Marr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marr Context triple: [Andrew Marr, familyName, Marr]
-
A.
Martz
Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
-
B.
Maynard
Maynard is the middle name of the influential British economist John Maynard Keynes, a key figure in modern macroeconomic theory.
-
C.
Murch
Murch is the surname of Walter Murch, the acclaimed American film editor and sound designer known for his work on films like "Apocalypse Now" and "The English Patient."
-
D.
Maran
Maran is an honorific title most famously associated with Rabbi Yosef Karo, the preeminent 16th-century halachic authority and author of the Shulchan Aruch.
-
E.
Millar
Millar is a surname and variant spelling of Miller, commonly found in English-speaking countries.
- 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: Marr Triple: [Andrew Marr, familyName, Marr]
Generated description
Marr is a Scottish surname most prominently associated with British journalist and broadcaster Andrew Marr.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marr Target entity description: Marr is a Scottish surname most prominently associated with British journalist and broadcaster Andrew Marr.
-
A.
Martz
Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
-
B.
Maynard
Maynard is the middle name of the influential British economist John Maynard Keynes, a key figure in modern macroeconomic theory.
-
C.
Murch
Murch is the surname of Walter Murch, the acclaimed American film editor and sound designer known for his work on films like "Apocalypse Now" and "The English Patient."
-
D.
Maran
Maran is an honorific title most famously associated with Rabbi Yosef Karo, the preeminent 16th-century halachic authority and author of the Shulchan Aruch.
-
E.
Millar
Millar is a surname and variant spelling of Miller, commonly found in English-speaking countries.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1bbb49c8190822c7d809375e879 |
completed | March 7, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71d70e488190a2f8276dd7a7bf9e |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae7470e3ac8190ac6e8f7cd10a4262 |
completed | March 9, 2026, 7:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae751895808190aac33870d80aab55 |
completed | March 9, 2026, 7:22 a.m. |
Created at: March 4, 2026, 7:48 p.m.