Triple
T12364316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Barone |
E294821
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Ally Barone |
E1042878
|
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: Ally Barone | Statement: [Ray Barone, child, Ally Barone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ally Barone Context triple: [Ray Barone, child, Ally Barone]
-
A.
Ally Barone
chosen
Ally Barone is the eldest daughter of Ray and Debra Barone on the sitcom "Everybody Loves Raymond," often featured in family-centered storylines that highlight the challenges of parenting and growing up.
-
B.
Allison Abbate
Allison Abbate is an American film producer best known for her work on major animated features such as The Iron Giant, Corpse Bride, and The LEGO Movie.
-
C.
Kayla Alpert
Kayla Alpert is a television writer and producer known for her work on series such as the Netflix show "Wednesday."
-
D.
Allison Deegan
Allison Deegan is a screenwriter best known for co-writing the period drama film "A Little Chaos."
-
E.
Sara Barone
Sara Barone is a composer best known for her work on the nature documentary series Planet Earth III.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa3f958819080555bcae9958a53 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75464d85c8190a4c27f22cfd7dc96 |
completed | May 3, 2026, 1:57 p.m. |
Created at: April 8, 2026, 9:54 p.m.