Triple
T14879417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diane Freeling |
E349958
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Carol Anne Freeling |
E571824
|
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: Carol Anne Freeling | Statement: [Diane Freeling, hasChild, Carol Anne Freeling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carol Anne Freeling Context triple: [Diane Freeling, hasChild, Carol Anne Freeling]
-
A.
Carol Anne Freeling
chosen
Carol Anne Freeling is the young girl at the center of the supernatural events in the Poltergeist film series, known for being abducted by malevolent spirits through her family's television.
-
B.
Lisa Freeman
Lisa Freeman is an American actress known for her supporting role in the 1981 romantic comedy film "Modern Romance."
-
C.
Dawn Freeman
Dawn Freeman is known as the wife of late American heavyweight boxer and former WBO champion Tommy Morrison.
-
D.
Mary Frey
Mary Frey is known as the wife of American automobile executive and engineer Donald Frey, a key figure behind the development of the Ford Mustang.
-
E.
Laura Bickford
Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e622388190b2bf91cd10b9821d |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef885b07c8190af5e33303af9fbea |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 1:55 a.m.