Triple
T37722441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christmas in July |
E939621
|
entity |
| Predicate | followedByInSturgesCareer |
P200314
|
FINISHED |
| Object | The Lady Eve |
—
|
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: The Lady Eve | Statement: [Christmas in July, followedByInSturgesCareer, The Lady Eve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followedByInSturgesCareer Context triple: [Christmas in July, followedByInSturgesCareer, The Lady Eve]
-
A.
followedByRoleInCareerOf
Indicates that one role or position directly succeeds another in the sequence of roles within a single entity’s career.
-
B.
isFollowedByInCareer
Indicates that one person’s professional role, position, or career stage comes directly after another’s in sequence.
-
C.
followedByInWTCI
Indicates that one event, state, or item occurs immediately after another within the context of the WTCI sequence or framework.
-
D.
followedByInHonor
Indicates that one entity is succeeded by another as a deliberate act of tribute, remembrance, or respect toward the first entity.
-
E.
followsCareerWith
Indicates that one entity pursues or continues a professional path in conjunction with, or in a similar manner to, another entity.
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff7fc835f08190afd1f8129b7a62a2 |
completed | May 9, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_69ff7f2e99ac8190ba372a1358a05a30 |
completed | May 9, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69ff7fc715208190a8e4e2cc5aa72d2c |
completed | May 9, 2026, 6:41 p.m. |
Created at: May 3, 2026, 4:18 p.m.