Triple
T30480021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Chegwidden |
E775554
|
entity |
| Predicate | roleInWutheringHeights1970 |
P199978
|
FINISHED |
| Object | film editor |
—
|
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: film editor | Statement: [Ann Chegwidden, roleInWutheringHeights1970, film editor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInWutheringHeights1970 Context triple: [Ann Chegwidden, roleInWutheringHeights1970, film editor]
-
A.
relationshipToHeathcliff
Indicates the nature or type of relational connection an entity has with Heathcliff.
-
B.
roleOnDowntonAbbey
Indicates that one entity portrays or has a specific role or character in the television series "Downton Abbey" in relation to the other entity.
-
C.
relationshipToJaneEyre
Indicates the specific familial, social, or emotional connection that one entity has to Jane Eyre.
-
D.
relationshipToHareton Earnshaw
Indicates the nature or role of an entity’s connection or association with Hareton Earnshaw.
-
E.
roleInNappilyEverAfter
Indicates that an entity has a role or participation in the work "Nappily Ever After."
- 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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff691f5ae481908597ce245188d31c |
completed | May 9, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69ff67ceeeb081909fd00cad166c4b6a |
completed | May 9, 2026, 4:58 p.m. |
| PDg | Predicate description generation | batch_69ff691e86d0819099fdb5eca5a95632 |
completed | May 9, 2026, 5:04 p.m. |
Created at: April 29, 2026, 8:12 p.m.