Triple
T10858718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Wood |
E256337
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object |
Mark Andrew Wood
Mark Andrew Wood is an English fast bowler who plays international cricket for England, known for his express pace and impact in limited-overs formats.
|
E888516
|
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: Mark Andrew Wood | Statement: [Mark Wood, fullName, Mark Andrew Wood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Andrew Wood Context triple: [Mark Wood, fullName, Mark Andrew Wood]
-
A.
Jason Wood
Jason Wood is a British film programmer, curator, and author known for his influential work in cinema programming and film culture.
-
B.
Chris Woods
Chris Woods is an investigative journalist known for his in-depth reporting on military affairs, drone warfare, and civilian casualties in conflict zones.
-
C.
Mark Woodward
Mark Woodward is the son of Welsh singer Tom Jones, known for his work as his father's longtime manager.
-
D.
Howard Wood
Howard Wood is an American businessman best known as a co-founder and early leader of the telecommunications and cable company Charter Communications.
-
E.
Don Woods
Don Woods is an American computer programmer best known for co-creating and expanding the pioneering text adventure game Colossal Cave Adventure.
- 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: Mark Andrew Wood Triple: [Mark Wood, fullName, Mark Andrew Wood]
Generated description
Mark Andrew Wood is an English fast bowler who plays international cricket for England, known for his express pace and impact in limited-overs formats.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Andrew Wood Target entity description: Mark Andrew Wood is an English fast bowler who plays international cricket for England, known for his express pace and impact in limited-overs formats.
-
A.
Jason Wood
Jason Wood is a British film programmer, curator, and author known for his influential work in cinema programming and film culture.
-
B.
Chris Woods
Chris Woods is an investigative journalist known for his in-depth reporting on military affairs, drone warfare, and civilian casualties in conflict zones.
-
C.
Mark Woodward
Mark Woodward is the son of Welsh singer Tom Jones, known for his work as his father's longtime manager.
-
D.
Howard Wood
Howard Wood is an American businessman best known as a co-founder and early leader of the telecommunications and cable company Charter Communications.
-
E.
Don Woods
Don Woods is an American computer programmer best known for co-creating and expanding the pioneering text adventure game Colossal Cave Adventure.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751500e248190823a16f2c85ad829 |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb1a0a9188190be0e9677884f3e93 |
completed | April 14, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69deb544eff88190b182e5d753b07df7 |
completed | April 14, 2026, 9:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69deb6973af481909b30489aaee94149 |
completed | April 14, 2026, 9:50 p.m. |
Created at: April 8, 2026, 9:20 p.m.