Triple
T4756987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerberus |
E105612
|
entity |
| Predicate | hasParent |
P120
|
FINISHED |
| Object | Typhon |
E19958
|
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: Typhon | Statement: [Cerberus, hasParent, Typhon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Typhon Context triple: [Cerberus, hasParent, Typhon]
-
A.
Typhoeus
chosen
Typhoeus is a monstrous serpentine giant from Greek mythology, often depicted as a fearsome adversary of Zeus and a symbol of chaotic natural forces.
-
B.
Vrachionas
Vrachionas is the highest mountain on the Greek island of Zakynthos, known for its panoramic views over the island and the Ionian Sea.
-
C.
Aegitna
Aegitna is the ancient name of the city now known as Cannes on the French Riviera.
-
D.
Tryphon
Tryphon was a Seleucid usurper and king in the 2nd century BCE who seized control of parts of the Syrian kingdom during the Maccabean period.
-
E.
Alcathous
Alcathous is the ancient acropolis of the Greek city of Megara, serving as its fortified citadel and religious center.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64ec16a0819089836e4388b555f6 |
completed | March 20, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a72ba908190ad9b423aea2a22b8 |
completed | March 21, 2026, 6:28 a.m. |
Created at: March 20, 2026, 1:20 p.m.