Triple
T8155704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nine Months |
E190444
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Mike Thompson
Mike Thompson is a screenwriter best known for his work on the romantic comedy film "Nine Months."
|
E717013
|
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 Thompson | Statement: [Nine Months, screenwriter, Mike Thompson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Thompson Context triple: [Nine Months, screenwriter, Mike Thompson]
-
A.
John Garamendi
John Garamendi is an American politician and public official who has served in roles including California insurance commissioner and U.S. Representative.
-
B.
Jared Huffman
Jared Huffman is a Democratic U.S. Representative from California known for his work on environmental protection, public lands, and progressive policy issues.
-
C.
Matt Santos
Matt Santos is a fictional U.S. congressman who becomes President in the television series "The West Wing."
-
D.
Ron Dellums
Ron Dellums was a prominent African American congressman and anti-war activist from California known for his leadership on civil rights, social justice, and opposition to apartheid.
-
E.
Dan Lungren
Dan Lungren is an American Republican politician and former California Attorney General who later served as a U.S. Representative in Congress.
- 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 Thompson Triple: [Nine Months, screenwriter, Mike Thompson]
Generated description
Mike Thompson is a screenwriter best known for his work on the romantic comedy film "Nine Months."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Thompson Target entity description: Mike Thompson is a screenwriter best known for his work on the romantic comedy film "Nine Months."
-
A.
John Garamendi
John Garamendi is an American politician and public official who has served in roles including California insurance commissioner and U.S. Representative.
-
B.
Jared Huffman
Jared Huffman is a Democratic U.S. Representative from California known for his work on environmental protection, public lands, and progressive policy issues.
-
C.
Matt Santos
Matt Santos is a fictional U.S. congressman who becomes President in the television series "The West Wing."
-
D.
Ron Dellums
Ron Dellums was a prominent African American congressman and anti-war activist from California known for his leadership on civil rights, social justice, and opposition to apartheid.
-
E.
Dan Lungren
Dan Lungren is an American Republican politician and former California Attorney General who later served as a U.S. Representative in Congress.
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44d725b88190b77dc7537c1fa95d |
completed | March 31, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf0f68c88190be9aab03de6bf4a0 |
completed | April 1, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69ccc311d4e8819080f4aeef8ee7dc3b |
completed | April 1, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd81bebf8819081b3c4efa5a9ef93 |
completed | April 1, 2026, 8:32 a.m. |
Created at: March 30, 2026, 5:37 p.m.