Triple
T9194722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Lockwood |
E220674
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Firecreek
Firecreek is a 1968 American Western film best known for its tense small-town confrontation and for starring James Stewart and Henry Fonda.
|
E783302
|
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: Firecreek | Statement: [Gary Lockwood, notableWork, Firecreek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Firecreek Context triple: [Gary Lockwood, notableWork, Firecreek]
-
A.
Fiery Creek
Fiery Creek is a tributary watercourse that feeds into the Leichhardt River in northwestern Queensland, Australia.
-
B.
Cold Pike
Cold Pike is a rugged fell in England's Lake District, known for its rocky summit and panoramic views over the surrounding Southern Fells.
-
C.
Walker Creek
Walker Creek is a scenic waterway and popular swimming spot within Litchfield National Park in Australia's Northern Territory, known for its clear pools, waterfalls, and bushwalking tracks.
-
D.
Walker Creek
Walker Creek is a smaller stream in Michigan that feeds into the Muskegon River as one of its tributaries.
-
E.
Walker Creek
Walker Creek is a significant watercourse in California’s Mono Basin that contributes to the region’s hydrology and ecosystems.
- 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: Firecreek Triple: [Gary Lockwood, notableWork, Firecreek]
Generated description
Firecreek is a 1968 American Western film best known for its tense small-town confrontation and for starring James Stewart and Henry Fonda.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Firecreek Target entity description: Firecreek is a 1968 American Western film best known for its tense small-town confrontation and for starring James Stewart and Henry Fonda.
-
A.
Fiery Creek
Fiery Creek is a tributary watercourse that feeds into the Leichhardt River in northwestern Queensland, Australia.
-
B.
Cold Pike
Cold Pike is a rugged fell in England's Lake District, known for its rocky summit and panoramic views over the surrounding Southern Fells.
-
C.
Walker Creek
Walker Creek is a scenic waterway and popular swimming spot within Litchfield National Park in Australia's Northern Territory, known for its clear pools, waterfalls, and bushwalking tracks.
-
D.
Walker Creek
Walker Creek is a smaller stream in Michigan that feeds into the Muskegon River as one of its tributaries.
-
E.
Walker Creek
Walker Creek is a significant watercourse in California’s Mono Basin that contributes to the region’s hydrology and ecosystems.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd87c3a3c8190b60f19873ef6e1f8 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c313004819090fe0e5d4e7bc15e |
completed | April 4, 2026, 12:32 a.m. |
| NEDg | Description generation | batch_69d05d138c288190a0eab9be6bd649c0 |
completed | April 4, 2026, 12:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05df1a0888190a2bdc48a159b865e |
completed | April 4, 2026, 12:40 a.m. |
Created at: March 30, 2026, 7:25 p.m.