Triple
T13810878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thora Birch |
E331885
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Thora Birch |
E331885
|
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: Thora Birch | Statement: [Thora Birch, name, Thora Birch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thora Birch Context triple: [Thora Birch, name, Thora Birch]
-
A.
Thora Birch
chosen
Thora Birch is an American actress known for her roles in films such as "American Beauty," "Ghost World," and various prominent 1990s and early 2000s movies.
-
B.
Erika Christensen
Erika Christensen is an American actress known for her roles in films like "Traffic" and "Flightplan" and the television series "Parenthood."
-
C.
Natalie Zea
Natalie Zea is an American actress best known for her television work in series such as Justified, The Following, and The Detour.
-
D.
Eve Lockhart
Eve Lockhart is a forensic pathologist character in the British crime drama series "Waking the Dead," known for her expertise in post-mortem analysis and involvement in solving cold cases.
-
E.
Alice Patten
Alice Patten is a British actress best known internationally for her role as an English documentary filmmaker in the acclaimed Indian film "Rang De Basanti."
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026ff6b481908066d6bf27064417 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd192957008190b525778430b56ca0 |
completed | May 7, 2026, 10:58 p.m. |
Created at: April 9, 2026, 10:12 p.m.