Triple
T23739321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sally Field as Dr. Greta Mantleray |
E586626
|
entity |
| Predicate | formatOfAppearance |
P69406
|
FINISHED |
| Object | limitedSeries |
—
|
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: limitedSeries | Statement: [Sally Field as Dr. Greta Mantleray, formatOfAppearance, limitedSeries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formatOfAppearance Context triple: [Sally Field as Dr. Greta Mantleray, formatOfAppearance, limitedSeries]
-
A.
mediaAppearanceType
chosen
Indicates the specific kind or category of media appearance associated with an entity (e.g., interview, feature, cameo, or performance).
-
B.
publicAppearance
Indicates that an entity participates in or is present at an event or situation that is open or visible to the general public.
-
C.
portrayalFormat
Indicates the medium or format in which something is portrayed or represented (e.g., painting, sculpture, film, digital).
-
D.
appearance
Indicates how something looks or seems to an observer, including its visible form, condition, or outward impression.
-
E.
presentedInFormat
Indicates that something is expressed, delivered, or made available using a particular format or representation.
- F. None of above.
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_69e24908efb08190bf755c3a9b91f222 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bad427f081908eaf96273fec757b |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:11 p.m.