Triple
T671339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don't Panic |
E12976
|
entity |
| Predicate | locationInFiction |
P9801
|
FINISHED |
| Object | front cover of the Guide |
—
|
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: front cover of the Guide | Statement: [Don't Panic, locationInFiction, front cover of the Guide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationInFiction Context triple: [Don't Panic, locationInFiction, front cover of the Guide]
-
A.
fictionalResidence
Indicates that one entity is the place where another entity lives or is based within a fictional or imaginary context.
-
B.
locationOfPassage
Indicates the place or area through which a passage, route, or transit occurs or is situated.
-
C.
cultLocation
Indicates that a cult or religious group is based in, practices in, or is primarily associated with a particular location.
-
D.
locationOfNarrative
chosen
Indicates the place or setting where the events or story described in the narrative occur.
-
E.
partOfFictionalCity
Indicates that one entity is a component, area, or subdivision within a larger fictional city.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a1b3682c8190a9b9a454480c3446 |
completed | March 1, 2026, 8:29 p.m. |
| PD | Predicate disambiguation | batch_69a49d1a16c48190af89e3b078a4957e |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.