Triple
T15577059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oscar Isaac |
E374395
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Eugene Isaac |
E374395
|
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: Eugene Isaac | Statement: [Oscar Isaac, hasChild, Eugene Isaac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eugene Isaac Context triple: [Oscar Isaac, hasChild, Eugene Isaac]
-
A.
Eugene Isaac
chosen
Eugene Isaac is the son of Guatemalan-American actor Oscar Isaac.
-
B.
Eugene Maurice
Eugene Maurice was a 17th-century French nobleman and military commander who held the title of Count of Soissons.
-
C.
Eugene Simon
Eugene Simon is a British actor best known for his role as Lancel Lannister in the television series "Game of Thrones."
-
D.
Eugene Miller
Eugene Miller was a screenwriter best known for his work on classic Hollywood films such as "The Mark of Zorro."
-
E.
Eugene Jerome
Eugene Jerome was a New York lawyer and investor whose financial backing in the late 19th century led to the Arizona mining town of Jerome being named in his honor.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e22c89081909b1ec0cd36a1ef45 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4978ec8190a57de5d9a2ec6653 |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:11 a.m.