Triple
T20492508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stamp |
E502779
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Robert Stamp
Robert Stamp is a person notable enough to be recognized as a bearer of the surname "Stamp."
|
E1436639
|
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: Robert Stamp | Statement: [Stamp, hasNotableBearer, Robert Stamp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Stamp Context triple: [Stamp, hasNotableBearer, Robert Stamp]
-
A.
Richard Stamp
Richard Stamp is a British actor known for his work in film, television, and theatre.
-
B.
A. E. Stamp
A. E. Stamp was a British civil servant who served as Registrar General for England and Wales in the early 20th century.
-
C.
Nigel Bluck
Nigel Bluck is a cinematographer known for his visually rich work on films such as "The Peanut Butter Falcon."
-
D.
Max Meldrum
Max Meldrum was an influential Australian painter and art teacher known for developing the tonalism movement that emphasized the study of light and tone over line and detail.
-
E.
Sir William Dargie
Sir William Dargie was a prominent Australian portrait painter best known for winning a record eight Archibald Prizes and painting many official portraits of national figures.
- 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: Robert Stamp Triple: [Stamp, hasNotableBearer, Robert Stamp]
Generated description
Robert Stamp is a person notable enough to be recognized as a bearer of the surname "Stamp."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robert Stamp Target entity description: Robert Stamp is a person notable enough to be recognized as a bearer of the surname "Stamp."
-
A.
Richard Stamp
Richard Stamp is a British actor known for his work in film, television, and theatre.
-
B.
A. E. Stamp
A. E. Stamp was a British civil servant who served as Registrar General for England and Wales in the early 20th century.
-
C.
Nigel Bluck
Nigel Bluck is a cinematographer known for his visually rich work on films such as "The Peanut Butter Falcon."
-
D.
Max Meldrum
Max Meldrum was an influential Australian painter and art teacher known for developing the tonalism movement that emphasized the study of light and tone over line and detail.
-
E.
Sir William Dargie
Sir William Dargie was a prominent Australian portrait painter best known for winning a record eight Archibald Prizes and painting many official portraits of national figures.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbb3bd081909351525208b41bba |
completed | April 20, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08a557affc8190b542d74d7171f5fb |
completed | May 16, 2026, 5:11 p.m. |
| NEDg | Description generation | batch_6a08a5f279c88190833e04a69e9839a6 |
completed | May 16, 2026, 5:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08a67f37f08190a50c377042c44a6f |
completed | May 16, 2026, 5:16 p.m. |
Created at: April 16, 2026, 11:35 a.m.