Triple
T31238881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Branson (Downton Abbey, 2019 film) |
E796501
|
entity |
| Predicate | socialStatusChange |
P35872
|
FINISHED |
| Object | from servant to member of the Crawley family |
—
|
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: from servant to member of the Crawley family | Statement: [Tom Branson (Downton Abbey, 2019 film), socialStatusChange, from servant to member of the Crawley family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialStatusChange Context triple: [Tom Branson (Downton Abbey, 2019 film), socialStatusChange, from servant to member of the Crawley family]
-
A.
socialStatusOrigin
Indicates the source or basis from which an entity’s social status is derived or determined.
-
B.
statusChange
chosen
Indicates a transition in an entity’s state or condition from one status to another over time.
-
C.
interactionStatus
Indicates the current state or condition of an interaction or exchange occurring between entities.
-
D.
relationshipChange
Indicates a change in the type, status, or nature of a relationship between entities over time.
-
E.
statusInCommunity
Indicates the social standing, role, or level of acceptance an entity holds within a particular community.
- 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_69f224db69ac81909a370adad6a7ac7c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: April 29, 2026, 9:11 p.m.