Triple
T1564432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hal Holbrook |
E33399
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Pueblo |
E54832
|
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: Pueblo | Statement: [Hal Holbrook, notableWork, Pueblo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pueblo Context triple: [Hal Holbrook, notableWork, Pueblo]
-
A.
San Luis
San Luis is a residential and commercial district located in the eastern part of Lima, Peru.
-
B.
San Luis
San Luis is a municipality and town in western Cuba known for its agricultural activities within Pinar del Río Province.
-
C.
Durango
Durango is a state in north-central Mexico known for its rugged mountainous terrain, significant mining history, and role as a setting for classic Western films.
-
D.
Wasco
Wasco is a small agricultural city in California’s San Joaquin Valley, known historically for its rose-growing industry and farming economy.
-
E.
City of Pueblo
chosen
The City of Pueblo is a home-rule municipality in southern Colorado that serves as a regional hub for industry, culture, and transportation along the Arkansas River.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa621242188190a7e1deeada7688d8 |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeac0be308190a12ba8e79589dead |
completed | March 8, 2026, 9:31 p.m. |
Created at: March 4, 2026, 7:27 p.m.