Triple
T15035855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor Who: The Tenth Doctor (Titan Comics) |
E378474
|
entity |
| Predicate | featuresOriginalCompanions |
P48101
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Doctor Who: The Tenth Doctor (Titan Comics), featuresOriginalCompanions, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresOriginalCompanions Context triple: [Doctor Who: The Tenth Doctor (Titan Comics), featuresOriginalCompanions, true]
-
A.
featuresCompanion
chosen
Indicates that one entity includes, presents, or is accompanied by another entity in a supporting or secondary role.
-
B.
viewsCompanions
Indicates that an entity observes or looks at its companions or associates.
-
C.
companionsCategory
Indicates that one entity is classified under a specific category related to companions or companionship.
-
D.
hasNumberOfCompanions
Indicates the quantity of companions or associates that an entity has.
-
E.
wasCompanionOf
Indicates that one entity accompanied or associated closely with another, typically as a partner, ally, or fellow participant over some period of 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82b29948190acda49cbec3f927a |
completed | April 15, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 2:59 a.m.