Triple
T9567897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lancer |
E230834
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Wayne Maunder
Wayne Maunder was a Canadian-American actor best known for his leading roles in 1960s and 1970s television Westerns and dramas.
|
E817312
|
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: Wayne Maunder | Statement: [Lancer, portrayedBy, Wayne Maunder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wayne Maunder Context triple: [Lancer, portrayedBy, Wayne Maunder]
-
A.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
-
B.
Douglas Slocombe
Douglas Slocombe was a renowned British cinematographer celebrated for his work on numerous classic films, including major entries in the Indiana Jones series.
-
C.
Jeffrey Paley
Jeffrey Paley is the son of longtime CBS chairman William S. Paley and a member of the prominent Paley media family.
-
D.
Peter Rinearson
Peter Rinearson is an American journalist and author best known for co-authoring Bill Gates’s book "The Road Ahead" and for his Pulitzer Prize–winning feature writing.
-
E.
Fergus Sheppard
Fergus Sheppard was a New Zealand government architect best known for his role in designing Wellington’s distinctive Beehive executive wing of Parliament.
- 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: Wayne Maunder Triple: [Lancer, portrayedBy, Wayne Maunder]
Generated description
Wayne Maunder was a Canadian-American actor best known for his leading roles in 1960s and 1970s television Westerns and dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wayne Maunder Target entity description: Wayne Maunder was a Canadian-American actor best known for his leading roles in 1960s and 1970s television Westerns and dramas.
-
A.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
-
B.
Douglas Slocombe
Douglas Slocombe was a renowned British cinematographer celebrated for his work on numerous classic films, including major entries in the Indiana Jones series.
-
C.
Jeffrey Paley
Jeffrey Paley is the son of longtime CBS chairman William S. Paley and a member of the prominent Paley media family.
-
D.
Peter Rinearson
Peter Rinearson is an American journalist and author best known for co-authoring Bill Gates’s book "The Road Ahead" and for his Pulitzer Prize–winning feature writing.
-
E.
Fergus Sheppard
Fergus Sheppard was a New Zealand government architect best known for his role in designing Wellington’s distinctive Beehive executive wing of Parliament.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9987cb0c8190af32a1193de54890 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f60aa508190b3966f4b917c41b5 |
completed | April 4, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69d1a3cc5420819091ee338da5afe4b7 |
completed | April 4, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a5f265148190af432e3640221a33 |
completed | April 4, 2026, 11:59 p.m. |
Created at: March 30, 2026, 8:04 p.m.