Triple
T19091488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbus Short |
E467295
|
entity |
| Predicate | appearedInTelevisionSeries |
P26455
|
FINISHED |
| Object | ER |
E82125
|
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: ER | Statement: [Columbus Short, appearedInTelevisionSeries, ER]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ER Context triple: [Columbus Short, appearedInTelevisionSeries, ER]
-
A.
ER
ER is the zone code for Eastern Railway, one of the major railway zones of Indian Railways headquartered in Kolkata.
-
B.
ER
ER is the abbreviation used to designate the Eastern Region of British Rail, a major administrative division of the former British railway network covering eastern England.
-
C.
ER
ER is the standard abbreviation used for the Erie Otters, a junior ice hockey team in the Ontario Hockey League.
-
D.
ER
chosen
ER is a critically acclaimed American medical drama television series that follows the personal and professional lives of staff in a busy Chicago emergency room.
-
E.
ER
ER is the ISO 3166-1 alpha-2 country code for Eritrea, a nation in the Horn of Africa.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34b6b348190bb868356ed8b655a |
completed | April 20, 2026, 8:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05dd9273cc81909dc0252b5959b050 |
completed | May 14, 2026, 2:34 p.m. |
Created at: April 10, 2026, 12:04 p.m.