Triple
T28566760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debbie Wolowitz |
E722699
|
entity |
| Predicate | neverSeenOnCamera |
P164643
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Debbie Wolowitz, neverSeenOnCamera, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neverSeenOnCamera Context triple: [Debbie Wolowitz, neverSeenOnCamera, true]
-
A.
neverCaptured
Indicates that the subject has not at any time been apprehended, seized, or taken into custody by another entity.
-
B.
neverCapturedBy
Indicates that one entity has never been apprehended, seized, or taken into custody by another entity at any point in time.
-
C.
neverSeenWithout
Indicates that one entity is always accompanied by another and is not observed in situations where the other is absent.
-
D.
neverRepresentedBy
Indicates that one entity has at no time been represented or acted on behalf of by the other entity.
-
E.
seenOn
Indicates that one entity has been visually observed or noticed on, within, or in association with another entity.
- 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_69f01a5f69d08190ad5c0d2167078dec |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6508f9be0819094d2968611578175 |
completed | May 2, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 28, 2026, 4:07 a.m.