Triple
T20870632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hope Lange |
E513879
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Christopher Murray |
—
|
NE NERFINISHED |
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 Murray | Statement: [Hope Lange, hasChild, Christopher Murray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Murray Context triple: [Hope Lange, hasChild, Christopher Murray]
-
A.
Christopher Murray
chosen
Christopher Murray is an American actor known for his work in film and television, and as the son of actor Don Murray.
-
B.
Chris Murray
Chris Murray is a physician and health researcher best known for founding and directing the Institute for Health Metrics and Evaluation (IHME) and leading the Global Burden of Disease study.
-
C.
Jeffrey S. Mearns
Jeffrey S. Mearns is an American academic leader and attorney who serves as the president of Ball State University in Indiana.
-
D.
Neil Buchanan
Neil Buchanan is a British television presenter, artist, and musician best known for hosting the children's art show "Art Attack."
-
E.
Kevin M. Birmingham
Kevin M. Birmingham was a Roman Catholic prelate who served as an auxiliary bishop in the Archdiocese of Chicago.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c4637ec48190830023d20fb8124c |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:45 p.m.