Triple
T21634065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imogen Poots |
E533908
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Poots |
—
|
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: Poots | Statement: [Imogen Poots, familyName, Poots]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poots Context triple: [Imogen Poots, familyName, Poots]
-
A.
Poots
chosen
Poots is the surname of Imogen Poots, an English actress known for her roles in films such as "28 Weeks Later" and "Green Room."
-
B.
Poot Carr
Poot Carr is a low-level drug dealer and later shoe salesman in the television series "The Wire," known for his role within the Barksdale drug organization.
-
C.
Poons
Poons is a surname most notably associated with Larry Poons, an American abstract painter known for his innovative use of color and optical effects.
-
D.
Poozer
Poozer is a slang term from DC Comics’ Green Lantern stories, most famously used by Kilowog to refer to inexperienced or inept recruits.
-
E.
Potes
Potes is a historic mountain town in northern Spain’s Cantabria region, known as a gateway to the Picos de Europa and for its traditional stone architecture and scenic river setting.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52192e388190a3f316e33f452561 |
completed | April 27, 2026, 12:10 p.m. |
Created at: April 16, 2026, 6:35 p.m.