Triple
T5775323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labyrinth |
E127426
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object | Daedalus |
E126204
|
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: Daedalus | Statement: [Labyrinth, designedBy, Daedalus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daedalus Context triple: [Labyrinth, designedBy, Daedalus]
-
A.
Daedalus
chosen
Daedalus is a master craftsman and inventor in Greek mythology, famed for creating the Labyrinth and for his ill-fated escape from Crete with his son Icarus using wings of feathers and wax.
-
B.
Dædalus
Dædalus is a scholarly journal of the American Academy of Arts and Sciences that features interdisciplinary essays on culture, science, public affairs, and the arts.
-
C.
Zeuxis
Zeuxis was a renowned 5th-century BCE Greek painter celebrated for his innovative use of illusion and realism in classical art.
-
D.
Myron
Myron is the birth name of American journalist and longtime 60 Minutes correspondent Mike Wallace.
-
E.
Steropes
Steropes is a one-eyed giant from Greek mythology, one of the Cyclopes known for forging Zeus’s thunderbolts.
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029de3bb4819087a6f3e920e12990 |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e6bf6348190b0ba46253585c7d9 |
completed | March 22, 2026, 11:42 p.m. |
Created at: March 22, 2026, 3:50 p.m.