Triple
T20645288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spree |
E507339
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Mischa Barton |
—
|
NE NERFINISHED |
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: Mischa Barton | Statement: [Spree, starring, Mischa Barton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mischa Barton Context triple: [Spree, starring, Mischa Barton]
-
A.
Mischa Barton
chosen
Mischa Barton is a British-American actress best known for her role as Marissa Cooper on the teen drama television series "The O.C."
-
B.
Chloe Pacey
Chloe Pacey is an Australian artist and the long-term partner of actor Brenton Thwaites, with whom she has children.
-
C.
Mallory Keaton
Mallory Keaton is a fashion-conscious, somewhat ditzy yet warm-hearted teenage daughter on the 1980s American sitcom "Family Ties."
-
D.
Brooke McQueen
Brooke McQueen is a central, popular cheerleader and student character from the teen television series "Popular," known for her complex personal growth and high school rivalries.
-
E.
Danielle Fishel
Danielle Fishel is an American actress and television personality best known for playing Topanga Lawrence on the sitcom "Boy Meets World" and its sequel "Girl Meets World."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1dd79481909de985d03ab861c2 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.