Triple
T5109529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Growltiger's Last Stand |
E115180
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Growltiger |
E115184
|
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: Growltiger | Statement: [Growltiger's Last Stand, mainCharacter, Growltiger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Growltiger Context triple: [Growltiger's Last Stand, mainCharacter, Growltiger]
-
A.
Growltiger
chosen
Growltiger is a fictional pirate cat character from T. S. Eliot’s *Old Possum's Book of Practical Cats*, later featured in Andrew Lloyd Webber’s musical *Cats*.
-
B.
Basilisk
The Basilisk is a gigantic, deadly serpent from the Harry Potter series whose gaze can kill and whose venom is among the most lethal magical substances.
-
C.
Tigery
Tigery is a small commune in the Essonne department of the Île-de-France region in northern France.
-
D.
Shere Khan
Shere Khan is the fearsome, man-hating Bengal tiger who serves as the primary antagonist in Rudyard Kipling’s "The Jungle Book" and its adaptations.
-
E.
Baiju
Baiju was a 13th-century Mongol general who led Mongol forces in their campaigns into Eastern Europe.
- 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_69bd4441d1648190a54a533895041987 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75ac19e88190aa8cc8b930a58d2d |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bebaa322d08190911dd2ca91405c3c |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:41 p.m.