Triple
T6066479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony Cris Collinsworth |
E135172
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cris |
E133109
|
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: Cris | Statement: [Anthony Cris Collinsworth, givenName, Cris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cris Context triple: [Anthony Cris Collinsworth, givenName, Cris]
-
A.
Cris
chosen
Cris is the first name of Cris Collinsworth, a former NFL wide receiver and prominent American football television broadcaster.
-
B.
Kris
Kris is the given name of English actor Kris Marshall, known for his roles in "Love Actually," "My Family," and various British television dramas and comedies.
-
C.
Crys
Crys is a diminutive given name commonly used as a shortened form of Crystal.
-
D.
Criss Chros
Criss Chros is a laid-back, good-natured slacker character from the TV series "30 Rock" who becomes Liz Lemon’s supportive long-term boyfriend and eventual husband.
-
E.
Crisa
Crisa was an ancient Greek town near Delphi that played a central role in the First Sacred War over control of the sanctuary and its access routes.
- 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_69c00878d06881909ee78e88913bf890 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0573f17088190a728f1c290cc9d1d |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d23dca8819080702ca0f05df5dd |
completed | March 23, 2026, 10:59 a.m. |
Created at: March 22, 2026, 4:10 p.m.