Triple
T7247682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Press |
E156517
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Steve Press
Steve Press is an individual notable enough to be recognized as a bearer of the surname Press, though specific widely known public details about him are limited.
|
E651865
|
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: Steve Press | Statement: [Press, hasNotableBearer, Steve Press]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Press Context triple: [Press, hasNotableBearer, Steve Press]
-
A.
Steve David
Steve David was a prolific Trinidadian forward best known for his goal-scoring exploits in the North American Soccer League during the 1970s.
-
B.
Steve Kirsch
Steve Kirsch is an American entrepreneur and inventor best known for founding multiple technology companies, including the early internet search engine Infoseek.
-
C.
Phil Johnston
Phil Johnston is an American screenwriter and filmmaker known for co-writing animated hits such as Disney's "Zootopia" and "Wreck-It Ralph."
-
D.
Stephen Blinn
Stephen Blinn is a screenwriter best known for his work on the Christian apocalyptic film "The Omega Code."
-
E.
Jeff Weltman
Jeff Weltman is a basketball executive who serves as the top front-office decision-maker for the NBA’s Orlando Magic.
- 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: Steve Press Triple: [Press, hasNotableBearer, Steve Press]
Generated description
Steve Press is an individual notable enough to be recognized as a bearer of the surname Press, though specific widely known public details about him are limited.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steve Press Target entity description: Steve Press is an individual notable enough to be recognized as a bearer of the surname Press, though specific widely known public details about him are limited.
-
A.
Steve David
Steve David was a prolific Trinidadian forward best known for his goal-scoring exploits in the North American Soccer League during the 1970s.
-
B.
Steve Kirsch
Steve Kirsch is an American entrepreneur and inventor best known for founding multiple technology companies, including the early internet search engine Infoseek.
-
C.
Phil Johnston
Phil Johnston is an American screenwriter and filmmaker known for co-writing animated hits such as Disney's "Zootopia" and "Wreck-It Ralph."
-
D.
Stephen Blinn
Stephen Blinn is a screenwriter best known for his work on the Christian apocalyptic film "The Omega Code."
-
E.
Jeff Weltman
Jeff Weltman is a basketball executive who serves as the top front-office decision-maker for the NBA’s Orlando Magic.
- 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_69c68827b5e481908dc05e145b2c92d4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea749fb08190841c0aa8c5bd0727 |
completed | March 27, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d39dab6081909842bfa37ff3f972 |
completed | March 28, 2026, 1:11 p.m. |
| NEDg | Description generation | batch_69c7d4690adc81909abbfb7a756f453d |
completed | March 28, 2026, 1:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7d5137efc81908745cca73b112f0c |
completed | March 28, 2026, 1:18 p.m. |
Created at: March 27, 2026, 2:56 p.m.