Triple
T15956419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meagen Fay |
E386945
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | ER (TV series) |
E493594
|
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 (TV series) | Statement: [Meagen Fay, knownFor, ER (TV series)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ER (TV series) Context triple: [Meagen Fay, knownFor, ER (TV series)]
-
A.
ER (TV series)
chosen
ER is a long-running American medical drama television series that follows the personal and professional lives of doctors and staff in a busy Chicago emergency room.
-
B.
ERNE
ERNE is a scientific instrument aboard the SOHO spacecraft designed to study energetic particles emitted by the Sun.
-
C.
Seria
Seria is an oil-producing coastal town in Brunei known as one of the country’s main petroleum hubs and the site of key historical events.
-
D.
Eureka (TV series)
Eureka is a science fiction comedy-drama television series about a secretive town populated by brilliant scientists whose experimental inventions frequently lead to unexpected and chaotic consequences.
-
E.
Erenler
Erenler is a district and municipality within Turkey’s Sakarya Province, known for its residential areas and proximity to the provincial capital.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156fb29848190a55cabb49cb19575 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe7c8ef081908fa6da7975c271f6 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.