Triple
T23486807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beth Howland |
E570554
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Company |
—
|
NE NERFINISHED |
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: Company | Statement: [Beth Howland, appearedIn, Company]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Company Context triple: [Beth Howland, appearedIn, Company]
-
A.
Company
Company is a short prose work by Samuel Beckett, notable for its minimalist style and introspective exploration of memory and identity.
-
B.
Company
chosen
"Company" is a 2011 filmed stage production of the Stephen Sondheim musical, notable for its concert-style staging and direction by Sam Mendes.
-
C.
Companys
Companys is a Catalan surname most notably borne by Lluís Companys, the former president of Catalonia during the Spanish Second Republic.
-
D.
Company B
Company B is a subordinate rifle company within the U.S. Army’s 1st Battalion, 121st Infantry Regiment.
-
E.
Company E
Company E is a subordinate rifle company within the U.S. Army’s 1st Battalion, 121st Infantry Regiment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a754825481909b005ca5654c3159 |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:04 p.m.