Triple
T14962665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leela |
E373099
|
entity |
| Predicate | hasPet |
P8711
|
FINISHED |
| Object | Nibbler |
E807870
|
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: Nibbler | Statement: [Leela, hasPet, Nibbler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nibbler Context triple: [Leela, hasPet, Nibbler]
-
A.
Nibbler
chosen
Nibbler is a small, seemingly cute but incredibly ancient and powerful alien creature from the animated series Futurama.
-
B.
Nibbles
Nibbles is the central character of the story "HouseBroken," around whom the main plot and events revolve.
-
C.
Weazel
Weazel is a minor character portrayed by Warwick Davis in the Star Wars universe, appearing as a gambler and spectator in the podracing scenes of "Star Wars: Episode I – The Phantom Menace."
-
D.
Skully
Skully is a small, talkative green parrot who serves as a lookout and helpful companion to the young pirate crew in the children's animated series "Jake and the Never Land Pirates."
-
E.
Stinkie
Stinkie is one of the mischievous Ghostly Trio in the 1995 live-action film "Casper," known for his crude humor and prankster personality.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6d0487c8190b7754af8c5014b37 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bdeec408190893d1db9254da24e |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:40 a.m.