Triple
T15507915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sixth Doctor |
E379128
|
entity |
| Predicate | hasRegenerationOrder |
P113344
|
FINISHED |
| Object | sixth |
—
|
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: sixth | Statement: [Sixth Doctor, hasRegenerationOrder, sixth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegenerationOrder Context triple: [Sixth Doctor, hasRegenerationOrder, sixth]
-
A.
hasRegenerationType
Indicates the specific kind or method of regeneration associated with an entity.
-
B.
hasRegenerationCycleWith
Indicates that two entities are linked by a recurring regeneration or renewal process that they undergo together or in relation to each other.
-
C.
hasMultipleRegenerations
Indicates that an entity has undergone more than one process of regeneration or renewal.
-
D.
regenerationNumber
chosen
Indicates the specific iteration or cycle count of a repeated regeneration or renewal event associated with an entity.
-
E.
hasRankOrder
Indicates that one entity is ordered or positioned relative to others according to a specific ranking or sequence.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcea8888190a7b69aca360183c3 |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:55 a.m.