Triple
T7078448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Baalat Gebal |
E164882
|
entity |
| Predicate | excavatedBy |
P7650
|
FINISHED |
| Object | Maurice Dunand |
E733958
|
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: Maurice Dunand | Statement: [Temple of Baalat Gebal, excavatedBy, Maurice Dunand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maurice Dunand Context triple: [Temple of Baalat Gebal, excavatedBy, Maurice Dunand]
-
A.
Maurice Dunand
chosen
Maurice Dunand was a French archaeologist renowned for his extensive excavations and research on ancient Near Eastern and Levantine sites.
-
B.
René Havard
René Havard was a French screenwriter and actor active in mid-20th-century cinema.
-
C.
Jacques Revaux
Jacques Revaux is a French songwriter best known for co-composing the classic chanson "Comme d'habitude," which became internationally famous as "My Way."
-
D.
Gustave Jéquier
Gustave Jéquier was a Swiss Egyptologist known for his extensive excavations and research on Old Kingdom pyramids and funerary complexes in Egypt.
-
E.
Michel Ecochard
Michel Ecochard was a prominent French architect and urban planner known for his influential modernist designs and large-scale planning projects in the Middle East and North Africa.
- 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_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4ef47d48190b31125d1b57f7bec |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce38b159d0819087efca6f80797971 |
completed | April 2, 2026, 9:36 a.m. |
Created at: March 27, 2026, 2:40 p.m.