Triple
T4441144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junior |
E95772
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Pamela Reed |
E652417
|
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: Pamela Reed | Statement: [Junior, starring, Pamela Reed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pamela Reed Context triple: [Junior, starring, Pamela Reed]
-
A.
Pamela Reed
chosen
Pamela Reed is an American actress known for her versatile character roles in film and television, including a prominent part in the comedy "Kindergarten Cop."
-
B.
Rebecca Cottrell
Rebecca Cottrell is the wife of Stephen Cottrell, the Archbishop of York in the Church of England.
-
C.
Melissa Parmenter
Melissa Parmenter is a British composer and producer known for her film scores and frequent collaborations with director Michael Winterbottom.
-
D.
Pam Ferris
Pam Ferris is a British actress known for her character roles in film and television, including memorable performances in "Matilda," "Call the Midwife," and "Harry Potter and the Prisoner of Azkaban."
-
E.
Stephanie Squires
Stephanie Squires is a central character in the coming-of-age film "The Wackness," serving as the love interest who helps drive the protagonist’s emotional and personal growth during a transformative summer in 1990s New York City.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ad71588190b1dcad4250472c29 |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7daed5d188190b499151e636d206d |
completed | March 28, 2026, 1:43 p.m. |
Created at: March 12, 2026, 11:32 p.m.