Triple
T10862735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savages (2012 film) |
E256445
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Chon
Chon is a former Navy SEAL and one of the two marijuana-growing protagonists in Oliver Stone’s crime thriller film "Savages."
|
E891039
|
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: Chon | Statement: [Savages (2012 film), mainCharacter, Chon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chon Context triple: [Savages (2012 film), mainCharacter, Chon]
-
A.
Chong
Chong is a Canadian-American comedian, actor, and musician best known as half of the stoner comedy duo Cheech & Chong.
-
B.
Chong
Chong is an indigenous ethnic group in Southeast Asia that speaks a Pearic language and is traditionally found in parts of Cambodia and Thailand.
-
C.
Chun
Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
-
D.
Chonchi
Chonchi is a small historic coastal town on Chiloé Island in southern Chile, known for its traditional wooden architecture and UNESCO-listed church.
-
E.
Chang
Chang is a common Chinese surname shared by many individuals across the Chinese-speaking world.
- 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: Chon Triple: [Savages (2012 film), mainCharacter, Chon]
Generated description
Chon is a former Navy SEAL and one of the two marijuana-growing protagonists in Oliver Stone’s crime thriller film "Savages."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chon Target entity description: Chon is a former Navy SEAL and one of the two marijuana-growing protagonists in Oliver Stone’s crime thriller film "Savages."
-
A.
Chong
Chong is a Canadian-American comedian, actor, and musician best known as half of the stoner comedy duo Cheech & Chong.
-
B.
Chong
Chong is an indigenous ethnic group in Southeast Asia that speaks a Pearic language and is traditionally found in parts of Cambodia and Thailand.
-
C.
Chun
Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
-
D.
Chonchi
Chonchi is a small historic coastal town on Chiloé Island in southern Chile, known for its traditional wooden architecture and UNESCO-listed church.
-
E.
Chang
Chang is a 1927 silent documentary-style adventure film set in the jungles of Siam, co-directed by Merian C. Cooper and Ernest B. Schoedsack, known for its depiction of human–nature conflict and elephant stampedes.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7515238108190a72eb8cd147f223d |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7d5359c8190b46a6b817938eb67 |
completed | April 15, 2026, 8:40 p.m. |
| NEDg | Description generation | batch_69e0026e7900819087327db5f625169c |
completed | April 15, 2026, 9:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e0057a7704819096becb74dc261883 |
completed | April 15, 2026, 9:39 p.m. |
Created at: April 8, 2026, 9:20 p.m.