Triple
T16801534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdera |
E408367
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Abderus |
E876317
|
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: Abderus | Statement: [Abdera, namedAfter, Abderus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abderus Context triple: [Abdera, namedAfter, Abderus]
-
A.
Abderus
chosen
Abderus is a minor figure in Greek mythology known as a companion of Heracles who was killed by the mares of Diomedes.
-
B.
Azarethes
Azarethes was a prominent Sasanian Persian general noted for his role in the Iberian War against the Eastern Roman (Byzantine) Empire.
-
C.
Ariaeus
Ariaeus was a Persian military commander who served under Cyrus the Younger during his campaign against Artaxerxes II.
-
D.
Monsieur Diafoirus
Monsieur Diafoirus is a pedantic and pompous physician in Molière’s comedy "Le Malade imaginaire," satirizing the outdated and dogmatic medical profession of his time.
-
E.
Rasalhague
Rasalhague is the brightest star in the constellation Ophiuchus, representing the head of the serpent-bearer in the night sky.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2c826808190aa0a5bfcde2e49a8 |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab1598dc81909fa5118e739a3291 |
completed | May 10, 2026, 3:58 p.m. |
Created at: April 10, 2026, 5:22 a.m.