Triple
T20492500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stamp |
E502779
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Michael Stamp
Michael Stamp is a person notable enough to be recognized as a bearer of the surname Stamp.
|
E1434978
|
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: Michael Stamp | Statement: [Stamp, hasNotableBearer, Michael Stamp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Stamp Context triple: [Stamp, hasNotableBearer, Michael Stamp]
-
A.
Kevin Stevens
Kevin Stevens is a former American NHL power forward best known for his high-scoring seasons with the Pittsburgh Penguins in the early 1990s.
-
B.
Michael Bauman
Michael Bauman is a cinematographer best known for his work on the film "Licorice Pizza."
-
C.
Michael Barratt
Michael Barratt is a Welsh rock and roll singer best known by his stage name Shakin' Stevens, who became one of the UK's most successful chart acts in the 1980s.
-
D.
Michael Sturgis
Michael Sturgis is a member of the musical group Asia.
-
E.
Kevin Stacom
Kevin Stacom is a former American professional basketball guard best known for his college career at Providence and for playing in the NBA during the 1970s, including winning a championship with the Boston Celtics.
- 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: Michael Stamp Triple: [Stamp, hasNotableBearer, Michael Stamp]
Generated description
Michael 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: Michael Stamp Target entity description: Michael Stamp is a person notable enough to be recognized as a bearer of the surname Stamp.
-
A.
Kevin Stevens
Kevin Stevens is a former American NHL power forward best known for his high-scoring seasons with the Pittsburgh Penguins in the early 1990s.
-
B.
Michael Bauman
Michael Bauman is a cinematographer best known for his work on the film "Licorice Pizza."
-
C.
Michael Barratt
Michael Barratt is a Welsh rock and roll singer best known by his stage name Shakin' Stevens, who became one of the UK's most successful chart acts in the 1980s.
-
D.
Michael Sturgis
Michael Sturgis is a member of the musical group Asia.
-
E.
Kevin Stacom
Kevin Stacom is a former American professional basketball guard best known for his college career at Providence and for playing in the NBA during the 1970s, including winning a championship with the Boston Celtics.
- 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_6a0893b65a008190bd027b782289e826 |
completed | May 16, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a08951fa0e0819085fbc2ab94a9ff74 |
completed | May 16, 2026, 4:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0895f025c881908e8e3220519da8fb |
completed | May 16, 2026, 4:06 p.m. |
Created at: April 16, 2026, 11:35 a.m.