Triple
T14300593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vicki |
E354550
|
entity |
| Predicate | companionsGroup |
P28650
|
FINISHED |
| Object | First Doctor companions |
—
|
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: First Doctor companions | Statement: [Vicki, companionsGroup, First Doctor companions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: companionsGroup Context triple: [Vicki, companionsGroup, First Doctor companions]
-
A.
companionsCategory
chosen
Indicates that one entity is classified under a specific category related to companions or companionship.
-
B.
hasNumberOfCompanions
Indicates the quantity of companions or associates that an entity has.
-
C.
wasCompanionOf
Indicates that one entity accompanied or associated closely with another, typically as a partner, ally, or fellow participant over some period of time.
-
D.
searchCompanions
Indicates that an entity looks for or seeks out other entities to accompany or assist it.
-
E.
companionOf
Indicates that one entity serves as a companion or partner to another, typically accompanying or being closely associated with them.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717e246c819083e67ac2b3b77881 |
completed | April 14, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:11 a.m.