Triple
T202931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irin Carmon |
E4544
|
entity |
| Predicate | notableAppearance |
P10205
|
FINISHED |
| Object | MSNBC news programs |
—
|
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: MSNBC news programs | Statement: [Irin Carmon, notableAppearance, MSNBC news programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAppearance Context triple: [Irin Carmon, notableAppearance, MSNBC news programs]
-
A.
notableShow
Indicates that a show is especially prominent, distinguished, or significant in some noteworthy way.
-
B.
notableStar
Indicates that the subject is a star (or stellar object) that is distinguished or noteworthy in some significant way, such as brightness, fame, or scientific interest, relative to other stars.
-
C.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
D.
notedIn
Indicates that information about one entity is mentioned, recorded, or referenced within another entity, such as a document, record, or source.
-
E.
notableDepictionYear
Indicates the year in which a notable or significant depiction of an entity occurred or was created.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25f46b4f081909e5ee3718109a71f |
completed | Feb. 28, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69a25b4b42ec8190bef16bbbdd30a742 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25f4602c081909e89de233cbc5670 |
completed | Feb. 28, 2026, 3:21 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.