Triple
T12438697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wallace |
E297213
|
entity |
| Predicate | friend |
P8712
|
FINISHED |
| Object | Poot |
E928855
|
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: Poot | Statement: [Wallace, friend, Poot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poot Context triple: [Wallace, friend, Poot]
-
A.
Pooc
Pooc is a dialect of the Paicî language, an Austronesian language spoken in New Caledonia.
-
B.
Poot Carr
chosen
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.
Poots
Poots is the surname of Imogen Poots, an English actress known for her roles in films such as "28 Weeks Later" and "Green Room."
-
D.
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.
-
E.
Poro
Poro is a municipality located on Poro Island in the province of Cebu in the Philippines.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8dc0f881908a3da736d8947ce1 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f0911a08190ba84a20950762e68 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:55 p.m.