Triple
T15481822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Hall |
E376936
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Christopher Hall |
unclear NED1
|
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: Christopher Hall | Statement: [Jennifer Hall, sibling, Christopher Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Hall Context triple: [Jennifer Hall, sibling, Christopher Hall]
-
A.
Christopher Hall
Christopher Hall is the son of acclaimed French-English actress and dancer Leslie Caron.
-
B.
Christopher Hall
Christopher Hall is a British television producer known for his work on acclaimed drama series, including the period comedy-drama "The Durrells in Corfu."
-
C.
Chris Hall
Chris Hall is a music video director known for directing the video for Common's influential hip-hop track "I Used to Love H.E.R."
-
D.
Chris Hall
Chris Hall is a cryptographer known for co-designing the Twofish symmetric-key block cipher.
-
E.
Don Houghton
Don Houghton was a British television screenwriter best known for his work on series such as Doctor Who and Sapphire & Steel.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8cb4388190a3b4c92c3bb4ad4f |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d0d6ef0819091623de2888a7101 |
completed | May 9, 2026, 12:48 p.m. |
Created at: April 10, 2026, 3:34 a.m.