Triple
T34795397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Thomas and Lady Jane |
E1003062
|
entity |
| Predicate | hasWorkingTitleRelation |
P64794
|
FINISHED |
| Object | Lady Chatterley’s Lover |
—
|
NE NERFINISHED |
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: Lady Chatterley’s Lover | Statement: [John Thomas and Lady Jane, hasWorkingTitleRelation, Lady Chatterley’s Lover]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkingTitleRelation Context triple: [John Thomas and Lady Jane, hasWorkingTitleRelation, Lady Chatterley’s Lover]
-
A.
hasWorkingTitle
chosen
Indicates that an entity is associated with a provisional or temporary title used during its development or production.
-
B.
hasWorkingTitleStatus
Indicates that an entity currently holds the status of having a provisional or working title rather than a finalized official title.
-
C.
hasTitleRelation
Indicates that one entity holds a formal title, designation, or rank in relation to another entity.
-
D.
hasWorkTitleElement
Indicates that an entity includes a specific textual component representing a work’s title or part of a work’s title.
-
E.
hasWorkTitleType
Indicates that an entity holds a specific category or type of work-related title (e.g., job title type or role classification).
- 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fe5ec9028081909ae3d6fbe2f4cbbc |
completed | May 8, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69fe5e1d715881909fc516fafc707644 |
completed | May 8, 2026, 10:05 p.m. |
Created at: May 3, 2026, 3:59 p.m.