Triple
T33477826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine Bennet |
E857374
|
entity |
| Predicate | followsLeadOf |
P34528
|
FINISHED |
| Object | Lydia Bennet |
—
|
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: Lydia Bennet | Statement: [Catherine Bennet, followsLeadOf, Lydia Bennet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsLeadOf Context triple: [Catherine Bennet, followsLeadOf, Lydia Bennet]
-
A.
followsLeadershipOf
chosen
Indicates that one entity accepts and acts under the guidance, direction, or authority of another entity’s leadership.
-
B.
followsTo
Indicates that one entity moves or proceeds behind another entity toward a specific destination or target.
-
C.
followsIn
Indicates that one entity comes after or succeeds another in a sequence, order, or progression.
-
D.
followsBy
Indicates that one event, state, or entity occurs or comes immediately after another in a sequence or order.
-
E.
leadFollowStructure
Indicates a relationship where one entity takes the primary, guiding role (lead) and the other adopts a responsive, supportive role (follow) within an organized structure or pattern.
- 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_69f3497472508190b300ebd3fd402367 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe7b1c506c8190869c1a22031e0571 |
completed | May 9, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69fe796b2bdc8190a86980d44008f875 |
completed | May 9, 2026, 12:01 a.m. |
Created at: May 1, 2026, 1:38 a.m.