Triple
T34924505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Hartley |
E1007242
|
entity |
| Predicate | portrayedInCrossover |
P199157
|
FINISHED |
| Object | Newhart series finale dream sequence interpretation |
—
|
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: Newhart series finale dream sequence interpretation | Statement: [Robert Hartley, portrayedInCrossover, Newhart series finale dream sequence interpretation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedInCrossover Context triple: [Robert Hartley, portrayedInCrossover, Newhart series finale dream sequence interpretation]
-
A.
hasCrossoverAppearancesIn
Indicates that an entity appears in crossover events or stories within the specified work or series.
-
B.
alsoPortrayedBy
Indicates that the same role or character is portrayed by an additional, different performer or actor.
-
C.
portrayedVia
Indicates that one entity is represented, depicted, or expressed through a particular medium, method, or channel.
-
D.
portrayedInFranchise
Indicates that an entity is depicted as a character or element within a specific media franchise.
-
E.
portraysCharacterIn
Indicates that one entity depicts or represents a particular character within a work, such as a film, show, or other narrative medium.
- 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_69f76dc3d83881909d5c3c14455cfa2c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff234f32888190a1d800a3bda432eb |
completed | May 9, 2026, 12:06 p.m. |
| PD | Predicate disambiguation | batch_69ff228ae9a0819083f4b97c10b923f4 |
completed | May 9, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69ff234e63648190a7b09a161029c8e2 |
completed | May 9, 2026, 12:06 p.m. |
Created at: May 3, 2026, 4 p.m.