Triple
T27766371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of Dai |
E701610
|
entity |
| Predicate | titleBeforeAccessionOf |
P44128
|
FINISHED |
| Object | Emperor Wen of Han |
—
|
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: Emperor Wen of Han | Statement: [Prince of Dai, titleBeforeAccessionOf, Emperor Wen of Han]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleBeforeAccessionOf Context triple: [Prince of Dai, titleBeforeAccessionOf, Emperor Wen of Han]
-
A.
titleBeforeAccession
chosen
Indicates that the specified title was held by an entity prior to its accession to a higher rank, office, or status.
-
B.
heldByBeforeAccession
Indicates that an item or position was possessed or owned by a particular entity prior to its formal accession into a collection, institution, or official record.
-
C.
preAccessionStatusOf
Indicates the status or condition of an entity prior to its formal accession or admission to another entity, group, or system.
-
D.
titleThrough
Indicates a relationship where one entity holds or is identified by a specific title by means of, or via the mediation of, another entity or context.
-
E.
usedAsTitleUntil
Indicates that a particular title was held or used by an entity up to (and including or until) a specified end time.
- 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: April 27, 2026, 4:31 p.m.