Triple
T34795404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Thomas and Lady Jane |
E1003062
|
entity |
| Predicate | hasCensorshipHistoryWith |
P17134
|
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, hasCensorshipHistoryWith, Lady Chatterley’s Lover]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCensorshipHistoryWith Context triple: [John Thomas and Lady Jane, hasCensorshipHistoryWith, Lady Chatterley’s Lover]
-
A.
hasCensorshipHistory
chosen
Indicates that an entity has previously been subject to censorship or involved in acts of censoring content.
-
B.
hasCensorshipIssue
Indicates that an entity is subject to, involved in, or associated with censorship or censorship-related concerns.
-
C.
hasAccessRestrictionHistory
Indicates that there exists a record or sequence of past changes detailing how access to something has been restricted over time.
-
D.
censorshipStatusAtTime
Indicates the censorship status of something at a specific point in time, capturing whether and how it was censored then.
-
E.
hasCensorshipControversy
Indicates that an entity has been involved in disputes, criticism, or public debate related to censorship of its content or activities.
- 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_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 3:59 p.m.