Triple
T36491484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CIDEr |
E899060
|
entity |
| Predicate | commonlyReportedIn |
P198911
|
FINISHED |
| Object | image captioning research papers |
—
|
LITERAL 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: image captioning research papers | Statement: [CIDEr, commonlyReportedIn, image captioning research papers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonlyReportedIn Context triple: [CIDEr, commonlyReportedIn, image captioning research papers]
-
A.
commonlyIdentifiedWith
Indicates that two entities are widely regarded or treated as the same or equivalent, even if they are formally distinct.
-
B.
commonlyFoundOn
Indicates that one entity is typically or frequently located on, attached to, or present upon another entity.
-
C.
commonlyPerformedIn
Indicates that an action or activity is typically or frequently carried out within a particular context, location, or setting.
-
D.
oftenReportsTo
Indicates that one entity frequently reports or provides updates to another entity, typically in a recurring or regular manner.
-
E.
commonlyScreenedOn
Indicates that something (such as a film, show, or content) is regularly or typically shown or broadcast on a particular platform, channel, or venue.
- F. None of above. chosen
Provenance (4 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff136ed2a881908f713401083970d1 |
completed | May 9, 2026, 10:58 a.m. |
| PD | Predicate disambiguation | batch_69ff10f9e3448190b6cb6ea5a67713c1 |
completed | May 9, 2026, 10:48 a.m. |
| PDg | Predicate description generation | batch_69ff136c68b481909b83d5b8a3693622 |
completed | May 9, 2026, 10:58 a.m. |
Created at: May 3, 2026, 4:10 p.m.