Triple
T7786573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hillsborough High School |
E187259
|
entity |
| Predicate | hasAlumnus |
P51
|
FINISHED |
| Object |
Mark Proctor
Mark Proctor is an individual known primarily as a graduate of Hillsborough High School.
|
E698302
|
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 Proctor | Statement: [Hillsborough High School, hasAlumnus, Mark Proctor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Proctor Context triple: [Hillsborough High School, hasAlumnus, Mark Proctor]
-
A.
Jay Proctor
Jay Proctor is an American soul singer best known as the lead vocalist of the 1960s group Jay & the Techniques, recognized for their hit "Apples, Peaches, Pumpkin Pie."
-
B.
Colin Prockter
Colin Prockter is a British character actor known for his numerous supporting roles in film and television, including an appearance in the crime comedy film "The Gentlemen."
-
C.
Andre Proctor
Andre Proctor is a songwriter best known for co-writing the hit track "How to Love."
-
D.
Brian Probyn
Brian Probyn is a British cinematographer known for his work on films such as the 1969 drama "The Intruders."
-
E.
Brian Wilkins
Brian Wilkins is a television producer best known for serving as an executive producer on the series "Hand of God."
- 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 Proctor Triple: [Hillsborough High School, hasAlumnus, Mark Proctor]
Generated description
Mark Proctor is an individual known primarily as a graduate of Hillsborough High School.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Proctor Target entity description: Mark Proctor is an individual known primarily as a graduate of Hillsborough High School.
-
A.
Jay Proctor
Jay Proctor is an American soul singer best known as the lead vocalist of the 1960s group Jay & the Techniques, recognized for their hit "Apples, Peaches, Pumpkin Pie."
-
B.
Colin Prockter
Colin Prockter is a British character actor known for his numerous supporting roles in film and television, including an appearance in the crime comedy film "The Gentlemen."
-
C.
Andre Proctor
Andre Proctor is a songwriter best known for co-writing the hit track "How to Love."
-
D.
Brian Probyn
Brian Probyn is a British cinematographer known for his work on films such as the 1969 drama "The Intruders."
-
E.
Brian Wilkins
Brian Wilkins is a television producer best known for serving as an executive producer on the series "Hand of God."
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cadf2462248190863f838f0e077923 |
completed | March 30, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb59f230d48190ad4cb08e9e73f19e |
completed | March 31, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69cb5f1afe0c8190916c7a9b2eab9270 |
completed | March 31, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb764973f88190964f91ee7e3fdc06 |
completed | March 31, 2026, 7:22 a.m. |
Created at: March 30, 2026, 4:24 p.m.