Triple
T16611403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shyriiwook |
E403577
|
entity |
| Predicate | spokenBy |
P2181
|
FINISHED |
| Object | Tarfful |
E1193964
|
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: Tarfful | Statement: [Shyriiwook, spokenBy, Tarfful]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarfful Context triple: [Shyriiwook, spokenBy, Tarfful]
-
A.
Tarfful
chosen
Tarfful is a prominent Wookiee chieftain and warrior from the Star Wars universe, known for his leadership during the Clone Wars and alliance with Jedi such as Yoda and Chewbacca.
-
B.
Randulph
Randulph is a masculine given name, considered an older or variant spelling of Randolph.
-
C.
Balnibarbi
Balnibarbi is a fictional country in Jonathan Swift's satirical novel "Gulliver's Travels," known for its absurd scientific experiments and mismanaged society.
-
D.
Gurgi
Gurgi is a timid yet loyal, creature-like companion character from Disney’s animated fantasy film "The Black Cauldron."
-
E.
Nagg
Nagg is a legless, elderly character in Samuel Beckett’s play "Endgame," known for living in a trash bin and engaging in bleakly comic exchanges with his wife Nell.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36096356c819092815d64db041793 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dad10ec8190b41d82b38fcd4dae |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.