Triple
T14021226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thom |
E337333
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Thom Evans
Thom Evans is a former Scottish international rugby union player who later became a model and television personality.
|
E1075840
|
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: Thom Evans | Statement: [Thom, hasNotableBearer, Thom Evans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thom Evans Context triple: [Thom, hasNotableBearer, Thom Evans]
-
A.
Tom Evans
Tom Evans was a Welsh musician and songwriter best known as the bassist and co-writer of the hit ballad "Without You" with the band Badfinger.
-
B.
Chris Clough
Chris Clough is a British television producer and director known for his work on series such as "Sirens" and episodes of "Doctor Who."
-
C.
Bevan Docherty
Bevan Docherty is a New Zealand triathlete best known for winning Olympic silver and bronze medals and multiple World Championship titles in the sport.
-
D.
Colin McKeown
Colin McKeown is a British television producer and executive known for his work on various UK drama and factual series.
-
E.
Kevin Tighe
Kevin Tighe is an American actor best known for his role as firefighter-paramedic Roy DeSoto on the television series "Emergency!" and for numerous character roles in film and television.
- 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: Thom Evans Triple: [Thom, hasNotableBearer, Thom Evans]
Generated description
Thom Evans is a former Scottish international rugby union player who later became a model and television personality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thom Evans Target entity description: Thom Evans is a former Scottish international rugby union player who later became a model and television personality.
-
A.
Tom Evans
Tom Evans was a Welsh musician and songwriter best known as the bassist and co-writer of the hit ballad "Without You" with the band Badfinger.
-
B.
Chris Clough
Chris Clough is a British television producer and director known for his work on series such as "Sirens" and episodes of "Doctor Who."
-
C.
Bevan Docherty
Bevan Docherty is a New Zealand triathlete best known for winning Olympic silver and bronze medals and multiple World Championship titles in the sport.
-
D.
Colin McKeown
Colin McKeown is a British television producer and executive known for his work on various UK drama and factual series.
-
E.
Kevin Tighe
Kevin Tighe is an American actor best known for his role as firefighter-paramedic Roy DeSoto on the television series "Emergency!" and for numerous character roles in film and television.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3c7cd88190b236382058581740 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32f78dc8190bd357d179cbaa5bc |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fc43c344c08190b5afa023f5009cb4 |
completed | May 7, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fc444a30a48190a2f65afcd5424d14 |
completed | May 7, 2026, 7:50 a.m. |
Created at: April 9, 2026, 10:19 p.m.