Triple
T19712533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tell Brak |
E473383
|
entity |
| Predicate | excavatedBy |
P7650
|
FINISHED |
| Object | Max Mallowan |
—
|
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: Max Mallowan | Statement: [Tell Brak, excavatedBy, Max Mallowan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Mallowan Context triple: [Tell Brak, excavatedBy, Max Mallowan]
-
A.
Max Mallowan
chosen
Max Mallowan was a prominent British archaeologist, particularly known for his work in the Middle East and for being married to mystery writer Agatha Christie.
-
B.
Red Holloway
Red Holloway was an American jazz saxophonist known for his soulful, blues-infused style and collaborations with many leading organists and bandleaders.
-
C.
Kika Markham
Kika Markham is an English actress known for her work in film, television, and theatre, including prominent roles in European art cinema.
-
D.
Orion Henry
Orion Henry is a technology entrepreneur best known as one of the co-founders of the cloud platform-as-a-service company Heroku.
-
E.
Mr. Arabin
Mr. Arabin is a clergyman and academic who becomes a central romantic interest in Anthony Trollope’s novel "Barchester Towers."
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6440a0f2c8190803ace7f6b4ed6e9 |
completed | April 20, 2026, 3:19 p.m. |
Created at: April 10, 2026, 1:46 p.m.