Triple
T8413640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollo Computer |
E198680
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Mike D’Onofrio
Mike D’Onofrio is an entrepreneur best known as a founder of the pioneering workstation company Apollo Computer.
|
E751608
|
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: Mike D’Onofrio | Statement: [Apollo Computer, foundedBy, Mike D’Onofrio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike D’Onofrio Context triple: [Apollo Computer, foundedBy, Mike D’Onofrio]
-
A.
Mike Fasolo
Mike Fasolo is an American television writer best known for his work on the stop-motion animated sketch comedy series "Robot Chicken."
-
B.
Mike Piscitelli
Mike Piscitelli is a filmmaker and photographer known for his music videos, commercials, and visual collaborations with various artists.
-
C.
Mike Larocca
Mike Larocca is a film producer known for his work on acclaimed projects including the multiverse-themed movie "Everything Everywhere All at Once."
-
D.
Mike Tuccillo
Mike Tuccillo is a film and television composer known for his work on the acclaimed series "Ramy."
-
E.
Mitch Pileggi
Mitch Pileggi is an American actor best known for his long-running role as FBI Assistant Director Walter Skinner on the television series "The X-Files."
- 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: Mike D’Onofrio Triple: [Apollo Computer, foundedBy, Mike D’Onofrio]
Generated description
Mike D’Onofrio is an entrepreneur best known as a founder of the pioneering workstation company Apollo Computer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike D’Onofrio Target entity description: Mike D’Onofrio is an entrepreneur best known as a founder of the pioneering workstation company Apollo Computer.
-
A.
Mike Fasolo
Mike Fasolo is an American television writer best known for his work on the stop-motion animated sketch comedy series "Robot Chicken."
-
B.
Mike Piscitelli
Mike Piscitelli is a filmmaker and photographer known for his music videos, commercials, and visual collaborations with various artists.
-
C.
Mike Larocca
Mike Larocca is a film producer known for his work on acclaimed projects including the multiverse-themed movie "Everything Everywhere All at Once."
-
D.
Mike Tuccillo
Mike Tuccillo is a film and television composer known for his work on the acclaimed series "Ramy."
-
E.
Mitch Pileggi
Mitch Pileggi is an American actor best known for his long-running role as FBI Assistant Director Walter Skinner on the television series "The X-Files."
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e328cc8190b3b038005d0bb66f |
completed | March 31, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef2e998c48190a112fcf5567f0056 |
completed | April 2, 2026, 10:51 p.m. |
| NEDg | Description generation | batch_69cef4cbc0788190bf95aa8058a8d895 |
completed | April 2, 2026, 10:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cef830e4e48190bf337a526cc82119 |
completed | April 2, 2026, 11:13 p.m. |
Created at: March 30, 2026, 6:06 p.m.