Triple
T14276788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Moment |
E353935
|
entity |
| Predicate | hasInterface |
P12981
|
FINISHED |
| Object | Bad Wolf Interface |
E1010620
|
NE 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: Bad Wolf Interface | Statement: [the Moment, hasInterface, Bad Wolf Interface]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Wolf Interface Context triple: [the Moment, hasInterface, Bad Wolf Interface]
-
A.
Bad Wolf
Bad Wolf is a British television production company known for creating high-profile drama series such as the adaptation of Philip Pullman’s "His Dark Materials."
-
B.
Bad Wolf
chosen
Bad Wolf is a recurring, reality-altering story arc in Doctor Who that links scattered clues across time and space to reveal Rose Tyler’s immense, time-infused power.
-
C.
Wölfi
Wölfi is a diminutive, affectionate form of the German given name Wolfgang, often used as a nickname.
-
D.
Wolfit
Wolfit is the surname of Donald Wolfit, a renowned English actor and theatre manager noted for his powerful Shakespearean performances.
-
E.
the wolf
The wolf is a large, highly social carnivorous mammal known for living and hunting in packs and serving as a powerful symbol in myth, literature, and folklore.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6583f0ec81909ebfc7a2c6351ff8 |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326f62b4819084b1e984678991ae |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:10 a.m.