Triple
T16063718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christina Ricci |
E389677
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Cleo Hampton |
E389677
|
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: Cleo Hampton | Statement: [Christina Ricci, child, Cleo Hampton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cleo Hampton Context triple: [Christina Ricci, child, Cleo Hampton]
-
A.
Cleo Hampton
Cleo Hampton is an individual whose specific public background or notable achievements are not clearly identifiable from the given information.
-
B.
Cleo Hampton
chosen
Cleo Hampton is the daughter of American actress Christina Ricci.
-
C.
Cleo McDowell
Cleo McDowell is a fast-food restaurant owner and the protective father of Lisa McDowell in the comedy film "Coming to America."
-
D.
Cleo Barnard
Cleo Barnard is a British filmmaker and screenwriter known for her socially conscious, visually distinctive films such as "The Arbor" and "The Selfish Giant."
-
E.
Cleo Sims
Cleo Sims is the central protagonist of the sitcom "Love, Inc.," a savvy dating consultant who helps clients navigate modern relationships while juggling her own romantic challenges.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837b048881908326739bbede756f |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00077c8e2881909a11a4c53691d187 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 4:57 a.m.