Triple
T12910155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethel Chambers |
E308836
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Chambers |
E46486
|
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: Chambers | Statement: [Ethel Chambers, familyName, Chambers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chambers Context triple: [Ethel Chambers, familyName, Chambers]
-
A.
Chambers
chosen
Chambers is a surname of English origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
B.
Chambers
Chambers are judicial divisions within the International Criminal Tribunal for Rwanda responsible for conducting trials and issuing legal judgments on cases related to the Rwandan genocide.
-
C.
Chambers
Chambers is a supernatural horror drama television series starring Uma Thurman that follows a young heart transplant recipient who begins to experience disturbing changes linked to her donor.
-
D.
The Chambers
The Chambers is the English title of the work originally known as "The Rooms."
-
E.
The Chamber
"The Chamber" is a 1996 legal thriller film based on John Grisham's novel, centered on a young lawyer trying to save his racist grandfather from death row.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719e584c81909be1ac1366effca0 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a5680d748190b8453793219bda8f |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:41 p.m.