Triple
T11235784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cranford |
E265936
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object | Alex Etel |
E736164
|
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: Alex Etel | Statement: [Cranford, starred, Alex Etel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Etel Context triple: [Cranford, starred, Alex Etel]
-
A.
Alex Etel
chosen
Alex Etel is a British former child actor best known for his lead role in the film "Millions" and later appearances in movies such as "The Water Horse: Legend of the Deep."
-
B.
Alex Gorsky
Alex Gorsky is an American business executive best known for serving as chairman and CEO of Johnson & Johnson.
-
C.
Alexander Rose
Alexander Rose is a historian and author best known for his book "Washington's Spies," which inspired the television series "Turn: Washington's Spies."
-
D.
Alex Segal
Alex Segal was an American film, television, and theater director active in the mid-20th century.
-
E.
Etan Cohen
Etan Cohen is an American screenwriter and director best known for co-writing hit comedy films such as Tropic Thunder and Men in Black 3.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e904cf888190826fc964f76b5cb2 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad6308f8819085652d6c529ac821 |
completed | April 19, 2026, 10:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.