Triple
T17217298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fawlty Towers Hotel |
E417884
|
entity |
| Predicate | hasSignGag |
P94189
|
FINISHED |
| Object | anagram hotel sign in opening credits |
—
|
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: anagram hotel sign in opening credits | Statement: [Fawlty Towers Hotel, hasSignGag, anagram hotel sign in opening credits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignGag Context triple: [Fawlty Towers Hotel, hasSignGag, anagram hotel sign in opening credits]
-
A.
hasSign
Indicates that an entity possesses, displays, or is associated with a particular sign or symbol.
-
B.
hasRecurringGag
chosen
Indicates that a particular joke, situation, or comedic element repeatedly appears in relation to an entity (such as a character, series, or work).
-
C.
hasSignFor
Indicates that one entity displays, bears, or provides a sign, symbol, or notice that represents, directs attention to, or gives information about another entity.
-
D.
hasSignatureSmile
Indicates that an entity is characterized by a distinctive or recognizable smile that serves as a notable or identifying feature.
-
E.
hasSignatureTaunt
Indicates that an entity possesses a distinctive, characteristic taunting action or gesture uniquely associated with it.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dda6e6c81908dd96f653cd2cba0 |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3831e354881908c5505ffd15c84e9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:38 a.m.