Triple
T4170599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Unearthly Child |
E84551
|
entity |
| Predicate | tardisInteriorDebut |
P54497
|
FINISHED |
| Object | First Doctor’s TARDIS interior |
—
|
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’s TARDIS interior | Statement: [An Unearthly Child, tardisInteriorDebut, First Doctor’s TARDIS interior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tardisInteriorDebut Context triple: [An Unearthly Child, tardisInteriorDebut, First Doctor’s TARDIS interior]
-
A.
chamber1
Indicates that an entity is a chamber or room, typically serving as an enclosed space within a larger structure.
-
B.
mainChamber
Indicates that something is the primary or central chamber or room within a larger structure or system.
-
C.
mainSpaceStation
Indicates that one entity serves as the primary or central space station associated with another entity.
-
D.
sisterChamber
Indicates that two chambers (such as legislative or organizational bodies) are counterparts or parallel bodies within the same larger system or structure.
-
E.
interiorStyle
Indicates that one entity has a particular interior design style or aesthetic characterized by the other 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02c87cc88190a9ec3712db18a8a7 |
completed | March 9, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69af018fb0948190a9701b2e8e5d9bac |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af01ee94ec8190aa6dde54d4571c04 |
completed | March 9, 2026, 5:22 p.m. |
Created at: March 9, 2026, 3:45 p.m.