Triple
T20329146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor Millan |
E492421
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Lawless
The Lawless is a 1950 American film noir–style drama about racial tensions and mob violence in a small California town.
|
E1424877
|
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: The Lawless | Statement: [Victor Millan, notableWork, The Lawless]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Lawless Context triple: [Victor Millan, notableWork, The Lawless]
-
A.
The Lawless
The Lawless is a historical novel by American author John Jakes, set in the post–Civil War era and continuing his popular Kent Family Chronicles saga.
-
B.
Lawless
Lawless is a 2012 crime drama film about Prohibition-era bootleggers in Virginia, starring Shia LaBeouf, Tom Hardy, and Jason Clarke.
-
C.
Law of the Lawless
Law of the Lawless is a 1964 American Western film featuring a frontier judge battling corruption and violence in a lawless town.
-
D.
A Lawless Street
A Lawless Street is a 1955 American Western film starring Randolph Scott as a town marshal facing corruption and personal turmoil.
-
E.
The Savages
The Savages is a 2007 dark comedy-drama film about adult siblings caring for their ailing father, starring Laura Linney and Philip Seymour Hoffman.
- 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: The Lawless Triple: [Victor Millan, notableWork, The Lawless]
Generated description
The Lawless is a 1950 American film noir–style drama about racial tensions and mob violence in a small California town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Lawless Target entity description: The Lawless is a 1950 American film noir–style drama about racial tensions and mob violence in a small California town.
-
A.
The Lawless
The Lawless is a historical novel by American author John Jakes, set in the post–Civil War era and continuing his popular Kent Family Chronicles saga.
-
B.
Lawless
Lawless is a 2012 crime drama film about Prohibition-era bootleggers in Virginia, starring Shia LaBeouf, Tom Hardy, and Jason Clarke.
-
C.
Law of the Lawless
Law of the Lawless is a 1964 American Western film featuring a frontier judge battling corruption and violence in a lawless town.
-
D.
A Lawless Street
A Lawless Street is a 1955 American Western film starring Randolph Scott as a town marshal facing corruption and personal turmoil.
-
E.
The Savages
The Savages is a 2007 dark comedy-drama film about adult siblings caring for their ailing father, starring Laura Linney and Philip Seymour Hoffman.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e637e48190b5582e97fe1000c0 |
completed | April 20, 2026, 7 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08694f802c8190b1f06c0a1c71cde4 |
completed | May 16, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0869f7b4208190858fdeae882e008d |
completed | May 16, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086a893f1c81909bc40e3c4db0e147 |
completed | May 16, 2026, 1 p.m. |
Created at: April 16, 2026, 11:22 a.m.