Triple
T14121255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nani Pelekai |
E339909
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Pleakley |
E339911
|
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: Pleakley | Statement: [Nani Pelekai, associatedWith, Pleakley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pleakley Context triple: [Nani Pelekai, associatedWith, Pleakley]
-
A.
Pleakley
chosen
Pleakley is a one-eyed, nervous but well-meaning alien from the Lilo & Stitch franchise who serves as an Earth expert and comic sidekick to Jumba.
-
B.
Cloyce
Cloyce is a surname most notably associated with Sarah Cloyce, one of the women accused during the Salem witch trials in 17th-century Massachusetts.
-
C.
Claytone
Claytone is a less common variant spelling of the given name Clayton, typically used as a masculine first name.
-
D.
Klecko
Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
-
E.
Reeser
Reeser is a surname most notably associated with American actress Autumn Reeser, known for her roles in television and film.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de60942a588190beff0058a92f7051 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7e04184819081633f9cfc0ccab9 |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:22 p.m.