Triple
T3673168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Murray |
E77925
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Joel Murray |
E94461
|
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: Joel Murray | Statement: [John Murray, sibling, Joel Murray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joel Murray Context triple: [John Murray, sibling, Joel Murray]
-
A.
Joel Murray
chosen
Joel Murray is an American actor and comedian known for his character roles in film and television, as well as for his voice work in animated projects.
-
B.
Tim Healy
Tim Healy was an Irish nationalist politician, lawyer, and writer who became the first Governor-General of the Irish Free State.
-
C.
Clarke Peters
Clarke Peters is an American actor, writer, and director best known for his roles in acclaimed television series such as The Wire and Treme, as well as numerous film and stage performances.
-
D.
Thomas Haden Church
Thomas Haden Church is an American actor known for roles in the TV series "Wings" and films such as "Sideways" and "Spider-Man 3."
-
E.
Stephen Tobolowsky
Stephen Tobolowsky is an American character actor and storyteller known for his prolific film and television work, including memorable roles in projects like "Groundhog Day" and numerous other mainstream movies and series.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42f82548190b4d5f0fe7250decb |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c688e0c8190a7e9ea3fe010c361 |
completed | March 14, 2026, 8:29 a.m. |
Created at: March 8, 2026, 3:25 p.m.