Triple
T995359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaws 2 |
E21482
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Mark Gruner
Mark Gruner is an American former child actor best known for his role in the 1978 thriller film "Jaws 2."
|
E220954
|
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 Gruner | Statement: [Jaws 2, stars, Mark Gruner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Gruner Context triple: [Jaws 2, stars, Mark Gruner]
-
A.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
-
B.
Mark Rosner
Mark Rosner is a screenwriter best known for co-writing the 1996 action film "The Rock."
-
C.
Jon Rubinstein
Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
-
D.
Nick Frenkel
Nick Frenkel is a television producer best known for his work as an executive producer on the long-running comedy series "It's Always Sunny in Philadelphia."
-
E.
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
- 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 Gruner Triple: [Jaws 2, stars, Mark Gruner]
Generated description
Mark Gruner is an American former child actor best known for his role in the 1978 thriller film "Jaws 2."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Gruner Target entity description: Mark Gruner is an American former child actor best known for his role in the 1978 thriller film "Jaws 2."
-
A.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
-
B.
Mark Rosner
Mark Rosner is a screenwriter best known for co-writing the 1996 action film "The Rock."
-
C.
Jon Rubinstein
Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
-
D.
Nick Frenkel
Nick Frenkel is a television producer best known for his work as an executive producer on the long-running comedy series "It's Always Sunny in Philadelphia."
-
E.
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c75de88190bf7fec7a053f7a90 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfb7eeda88190bdedb28497fbd81e |
completed | March 8, 2026, 10:43 p.m. |
| NEDg | Description generation | batch_69adfc09ee3081909d0ab8577ca65b6d |
completed | March 8, 2026, 10:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfd3ecb7881909a6692bb58211c2e |
completed | March 8, 2026, 10:50 p.m. |
Created at: March 1, 2026, 7:41 p.m.