Triple
T18901334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd McCaffrey |
E462346
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Dragongirl |
—
|
NE NERFINISHED |
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: Dragongirl | Statement: [Todd McCaffrey, notableWork, Dragongirl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dragongirl Context triple: [Todd McCaffrey, notableWork, Dragongirl]
-
A.
Dragongirl
chosen
Dragongirl is a science fantasy novel in Anne McCaffrey’s Dragonriders of Pern series, focusing on the coming-of-age and challenges of a young female dragonrider.
-
B.
Dragone
Dragone is an Italian surname most notably associated with Franco Dragone, the renowned theatre director known for his work with Cirque du Soleil and large-scale live productions.
-
C.
Dragonrider Talritha
Dragonrider Talritha is a legendary Hearthstone minion from the Descent of Dragons expansion that embodies a dragon-synergizing Paladin hero riding a dragon into battle.
-
D.
The Dragon
The Dragon is a prominent mountain peak in Tasmania’s remote Frankland Range, known for its rugged terrain and challenging access for experienced bushwalkers and climbers.
-
E.
The Dragon
The Dragon is a renowned martial arts school known for its rigorous training and emphasis on traditional fighting techniques.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52954bc8190a237627c09615ac1 |
completed | April 20, 2026, 6:18 a.m. |
Created at: April 10, 2026, 11:58 a.m.