Triple
T20127636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Eggers |
E490799
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Zeitoun |
—
|
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: Zeitoun | Statement: [Dave Eggers, notableWork, Zeitoun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeitoun Context triple: [Dave Eggers, notableWork, Zeitoun]
-
A.
Zeitoun
chosen
"Zeitoun" is a non-fiction book by Dave Eggers that chronicles the experiences of a Syrian-American man and his family in New Orleans during and after Hurricane Katrina.
-
B.
Laurent Zeitoun
Laurent Zeitoun is a French film producer known for his work on popular romantic comedies and international co-productions.
-
C.
Saide
Saide is a given name that serves as an alternative spelling of the more common name Sadie.
-
D.
Shawan
Shawan is a metro station on Guangzhou's Line 7 serving the Shawan area in Guangzhou, China.
-
E.
El Zeitoun
El Zeitoun is a residential district in northeastern Cairo, Egypt, known for its historic churches and mid-20th-century urban development.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66743494c81908e63a5efca3aa3ea |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:31 p.m.