Triple
T3084476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clinch Leatherwood |
E64336
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Clinch Leatherwood |
E64336
|
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: Clinch Leatherwood | Statement: [Clinch Leatherwood, name, Clinch Leatherwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clinch Leatherwood Context triple: [Clinch Leatherwood, name, Clinch Leatherwood]
-
A.
Clinch Leatherwood
chosen
Clinch Leatherwood is the ruthless outlaw gunslinger who serves as the main antagonist in the comedy Western film "A Million Ways to Die in the West."
-
B.
Birch
Birch is a masculine given name most notably borne by American politician Birch Bayh, a long-serving U.S. senator from Indiana.
-
C.
Tanne
Tanne is a small village in the Harz region of central Germany, now part of the town of Oberharz am Brocken.
-
D.
Oak
Oak is the professional name of Warren “Oak” Felder, a Grammy-nominated songwriter and record producer known for his work with major contemporary pop and R&B artists.
-
E.
How Wood
How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1e98a1c8190b1dd4a0a47f7d6c6 |
completed | March 8, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f89b650c8190983a00e37a42a794 |
completed | March 11, 2026, 11:19 p.m. |
Created at: March 8, 2026, 3:03 p.m.