Triple
T11800765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susannah Dean |
E280618
|
entity |
| Predicate | allyOf |
P4662
|
FINISHED |
| Object | Jake Chambers |
E192782
|
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: Jake Chambers | Statement: [Susannah Dean, allyOf, Jake Chambers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jake Chambers Context triple: [Susannah Dean, allyOf, Jake Chambers]
-
A.
Jake Chambers
chosen
Jake Chambers is a pivotal young boy with psychic abilities who becomes one of Roland Deschain’s closest companions on the quest for the Dark Tower.
-
B.
Guy Chambers
Guy Chambers is a British songwriter, musician, and producer best known for co-writing many of Robbie Williams' biggest hits.
-
C.
Carter Chambers
Carter Chambers is a terminally ill mechanic and family man who embarks on a globe-trotting adventure to fulfill his "bucket list" alongside a wealthy stranger in the film "The Bucket List."
-
D.
Sawyer
Sawyer is a surname of English origin commonly borne by individuals in English-speaking countries.
-
E.
Sawyer
Sawyer is a collaborative industrial robot arm developed by Rethink Robotics for flexible, safe automation tasks alongside human workers.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a4512c8190b7782e1dee053000 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f13129fa608190b080dc27f8bd7803 |
completed | April 28, 2026, 10:14 p.m. |
Created at: April 8, 2026, 9:42 p.m.