Triple
T20183531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anaconda (1997 film) |
E492792
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Gary Dixon
Gary Dixon is a minor supporting character in the 1997 adventure-horror film "Anaconda."
|
E1415807
|
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: Gary Dixon | Statement: [Anaconda (1997 film), character, Gary Dixon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gary Dixon Context triple: [Anaconda (1997 film), character, Gary Dixon]
-
A.
Don Dixon
Don Dixon is an American record producer, songwriter, and musician known for his influential work in the jangle pop and alternative rock scenes, including producing early albums by R.E.M. and other notable artists.
-
B.
Jeff Dixon
Jeff Dixon is a music industry executive best known for co-founding and managing the hip hop label Disturbing tha Peace alongside rapper Ludacris.
-
C.
Andy Dixon
Andy Dixon is the son of former Australian cricket captain Kim Hughes.
-
D.
Ron Dixon
Ron Dixon is a former NFL wide receiver and kick returner best known for his explosive return touchdowns for the New York Giants during their run to Super Bowl XXXV.
-
E.
Ken Dixon
Ken Dixon is a Canadian entrepreneur and film industry professional best known as the husband of actress Jennifer Beals.
- 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: Gary Dixon Triple: [Anaconda (1997 film), character, Gary Dixon]
Generated description
Gary Dixon is a minor supporting character in the 1997 adventure-horror film "Anaconda."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gary Dixon Target entity description: Gary Dixon is a minor supporting character in the 1997 adventure-horror film "Anaconda."
-
A.
Don Dixon
Don Dixon is an American record producer, songwriter, and musician known for his influential work in the jangle pop and alternative rock scenes, including producing early albums by R.E.M. and other notable artists.
-
B.
Jeff Dixon
Jeff Dixon is a music industry executive best known for co-founding and managing the hip hop label Disturbing tha Peace alongside rapper Ludacris.
-
C.
Andy Dixon
Andy Dixon is the son of former Australian cricket captain Kim Hughes.
-
D.
Ron Dixon
Ron Dixon is a former NFL wide receiver and kick returner best known for his explosive return touchdowns for the New York Giants during their run to Super Bowl XXXV.
-
E.
Ken Dixon
Ken Dixon is a Canadian entrepreneur and film industry professional best known as the husband of actress Jennifer Beals.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668f068748190a0941e98ef5afd59 |
completed | April 20, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c7febf8819091f9b551b3d3b779 |
completed | May 16, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_6a083d3196148190847a625ad09762a2 |
completed | May 16, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083e04aab88190a1e0219427d8d0e1 |
completed | May 16, 2026, 9:51 a.m. |
Created at: April 11, 2026, 11:36 p.m.