Triple
T2480902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron Howard |
E55811
|
entity |
| Predicate | parentOf |
P120
|
FINISHED |
| Object | Jocelyn Howard |
E62514
|
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: Jocelyn Howard | Statement: [Ron Howard, parentOf, Jocelyn Howard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jocelyn Howard Context triple: [Ron Howard, parentOf, Jocelyn Howard]
-
A.
Jocelyn Howard
chosen
Jocelyn Howard is an American television and film actress best known as the daughter of filmmaker and former child star Ron Howard.
-
B.
Janelle Lacey
Janelle Lacey is known as the former wife of American actor Richard Dreyfuss.
-
C.
Larissa Weems
Larissa Weems is a character from the Netflix series "Wednesday," serving as the poised and enigmatic principal of Nevermore Academy.
-
D.
Nina Smith
Nina Smith is known as one of the children of American rapper and actor LL Cool J.
-
E.
Jacelyn Reeves
Jacelyn Reeves is an American former flight attendant best known as the mother of actor Scott Eastwood and for her past relationship with Clint Eastwood.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd161bf3c8190834502968180e9cf |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12ded5f9c8190a0de21b631d970b0 |
completed | March 11, 2026, 8:55 a.m. |
Created at: March 6, 2026, 9:45 p.m.