Triple
T12970049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carol Seaver |
E321367
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Chrissy Seaver |
E299062
|
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: Chrissy Seaver | Statement: [Carol Seaver, hasSibling, Chrissy Seaver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chrissy Seaver Context triple: [Carol Seaver, hasSibling, Chrissy Seaver]
-
A.
Chrissy Seaver
chosen
Chrissy Seaver is the youngest daughter in the Seaver family on the 1980s sitcom "Growing Pains," known for her cute, precocious personality.
-
B.
Cheryl Malone
Cheryl Malone is a notable individual recognized for achievements significant enough to be associated with the Malone surname.
-
C.
Chrissy DeWitt
Chrissy DeWitt is one of the four central childhood friends in the coming-of-age film "Now and Then," known for her sheltered, naive personality and later role as a pregnant adult reflecting on their shared past.
-
D.
Lindy Robbins
Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
-
E.
Tricia Vessey
Tricia Vessey is an American actress known for her roles in independent films of the late 1990s and early 2000s.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e407e5081909424fc0c22483c28 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5f2cc588190bb771f999cd5fd46 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:34 p.m.