Triple
T20891060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bark |
E514406
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Law Man |
—
|
NE NERFINISHED |
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: Law Man | Statement: [Bark, hasPart, Law Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Law Man Context triple: [Bark, hasPart, Law Man]
-
A.
Lawman
chosen
Lawman is a 1971 American Western film directed by Michael Winner, known for its gritty portrayal of frontier justice and moral ambiguity.
-
B.
The Man from Texas
The Man from Texas is a 1948 American Western film featuring actor James Craig in a leading role.
-
C.
The Man from Painted Post
The Man from Painted Post is a 1917 American silent Western film starring Douglas Fairbanks as a cowboy who becomes entangled in romance and adventure.
-
D.
The Man from Nevada
The Man from Nevada is a 1929 American Western film starring Lane Chandler as a cowboy hero entangled in frontier conflict and romance.
-
E.
Texas Man
"Texas Man" is a song by the American country duo Gaslighter, blending modern country-pop elements with themes of love and regional identity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d05e307081908f1d044e877017ec |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 12:46 p.m.