Triple
T12864227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathan Road |
E307674
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Matthew Nathan
Matthew Nathan was a British Army officer and colonial administrator who served as Governor of Hong Kong in the early 20th century.
|
E1006926
|
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: Matthew Nathan | Statement: [Nathan Road, namedAfter, Matthew Nathan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Nathan Context triple: [Nathan Road, namedAfter, Matthew Nathan]
-
A.
Matthew Nelson
Matthew Nelson is an American musician best known as one half of the twin brother rock duo Nelson and as a son of rock and roll star Ricky Nelson.
-
B.
Nathan Nugent
Nathan Nugent is a film editor known for his work on acclaimed independent and international films, including collaborations with director Sebastián Lelio.
-
C.
Jordan Nathaniel
Jordan Nathaniel is an author known for writing the work titled "Borderline."
-
D.
Matthew Robert Birk
Matthew Robert Birk is a former American football center who played primarily for the Minnesota Vikings and Baltimore Ravens, earning multiple Pro Bowl selections and a Super Bowl title.
-
E.
Matthew Elliott
Matthew Elliott is a British political strategist and campaigner best known for leading the pro-Brexit Vote Leave campaign.
- 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: Matthew Nathan Triple: [Nathan Road, namedAfter, Matthew Nathan]
Generated description
Matthew Nathan was a British Army officer and colonial administrator who served as Governor of Hong Kong in the early 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthew Nathan Target entity description: Matthew Nathan was a British Army officer and colonial administrator who served as Governor of Hong Kong in the early 20th century.
-
A.
Matthew Nelson
Matthew Nelson is an American musician best known as one half of the twin brother rock duo Nelson and as a son of rock and roll star Ricky Nelson.
-
B.
Nathan Nugent
Nathan Nugent is a film editor known for his work on acclaimed independent and international films, including collaborations with director Sebastián Lelio.
-
C.
Jordan Nathaniel
Jordan Nathaniel is an author known for writing the work titled "Borderline."
-
D.
Matthew Robert Birk
Matthew Robert Birk is a former American football center who played primarily for the Minnesota Vikings and Baltimore Ravens, earning multiple Pro Bowl selections and a Super Bowl title.
-
E.
Matthew Elliott
Matthew Elliott is a British political strategist and campaigner best known for leading the pro-Brexit Vote Leave campaign.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708cf6b48190886a99e04d85d348 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb092b88190b159f1d79156cf86 |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69d7984d48190adf5409a1ac7346a |
completed | May 3, 2026, 12:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69e2abc38819095ff4977f2df9b2b |
completed | May 3, 2026, 1 a.m. |
Created at: April 9, 2026, 5:37 p.m.