Triple
T11143537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douglas Wick |
E263616
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Lawless |
E87943
|
NE FINISHED |
How this triple was built (2 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: Lawless | Statement: [Douglas Wick, notableWork, Lawless]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawless Context triple: [Douglas Wick, notableWork, Lawless]
-
A.
Lawless
chosen
Lawless is a 2012 crime drama film about Prohibition-era bootleggers in Virginia, starring Shia LaBeouf, Tom Hardy, and Jason Clarke.
-
B.
Outlaw
Outlaw is an American legal drama television series starring Jimmy Smits as a Supreme Court justice who resigns to return to private practice and fight for social justice.
-
C.
A Lawless Street
A Lawless Street is a 1955 American Western film starring Randolph Scott as a town marshal facing corruption and personal turmoil.
-
D.
Indian Outlaw
"Indian Outlaw" is a 1994 breakthrough country single by Tim McGraw that gained widespread attention for its catchy sound and controversial lyrics.
-
E.
Killing Them Softly
Killing Them Softly is a 2012 American crime film, based on George V. Higgins' novel "Cogan's Trade," that follows a hitman investigating a heist on a mob-protected poker game.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8623158819096ad1678fa9e72bb |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e44215513481908909ce4289aabca6 |
completed | April 19, 2026, 2:46 a.m. |
Created at: April 8, 2026, 9:28 p.m.