Triple
T3377989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrance Dicks |
E71111
|
entity |
| Predicate | numberOfDoctorWhoNovelisations |
P48103
|
FINISHED |
| Object | over 60 |
—
|
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: over 60 | Statement: [Terrance Dicks, numberOfDoctorWhoNovelisations, over 60]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDoctorWhoNovelisations Context triple: [Terrance Dicks, numberOfDoctorWhoNovelisations, over 60]
-
A.
numberOfWorks
Indicates the total count of works associated with a given entity.
-
B.
hasNovelization
Indicates that a work has been adapted into a novel or prose narrative form.
-
C.
numberOfWorksCreated
Indicates the total count of creative works that an entity has produced or authored.
-
D.
numberOfEditions
Indicates the total count of distinct editions associated with a given entity.
-
E.
numberOfManuscriptsApprox
Indicates an approximate count of manuscripts associated with an 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2e8d1988190b6fb6c4c5502f25f |
completed | March 8, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69ada433059881908e46f38cc5f40a32 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69adaa518ac88190b64f949ace018ab7 |
completed | March 8, 2026, 4:56 p.m. |
Created at: March 8, 2026, 3:13 p.m.