Triple
T6499208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Louis-Dreyfus |
E148837
|
entity |
| Predicate | offspring |
P980
|
FINISHED |
| Object | Charles Hall |
E148837
|
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: Charles Hall | Statement: [Julia Louis-Dreyfus, offspring, Charles Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Hall Context triple: [Julia Louis-Dreyfus, offspring, Charles Hall]
-
A.
Charles Hall
Charles Hall is an individual known primarily in relation to his brother, Henry Hall.
-
B.
Charles Hall
chosen
Charles Hall is the son of acclaimed American actress and comedian Julia Louis-Dreyfus.
-
C.
James Hall
James Hall was a pioneering 18th–19th century Scottish geologist whose careful field observations, including at Siccar Point, helped establish the deep timescales of Earth's geological history.
-
D.
Charles Hackley
Charles Hackley was a prominent 19th-century lumber baron and philanthropist from Muskegon, Michigan, known for his significant contributions to the city’s cultural and educational institutions.
-
E.
William Hall
William Hall is a relatively common personal name shared by multiple notable individuals across fields such as politics, the military, sports, and the arts.
- 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_69c687e9ad288190bae5bcac9c8ac855 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c68ad1c46c819089db43e7c3a8d160 |
completed | March 27, 2026, 1:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e40c193c8190b4d7acd4530121f0 |
completed | March 27, 2026, 8:09 p.m. |
Created at: March 27, 2026, 1:41 p.m.