Triple
T11557359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hercules Oetaeus |
E274049
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Lichas |
E792068
|
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: Lichas | Statement: [Hercules Oetaeus, character, Lichas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lichas Context triple: [Hercules Oetaeus, character, Lichas]
-
A.
Lichas
chosen
Lichas is a herald and messenger of Heracles in Greek mythology, best known from Sophocles’ tragedy "The Women of Trachis."
-
B.
Lichana
Lichana is a town and commune located in Biskra Province in northeastern Algeria, known for its oasis agriculture and desert climate.
-
C.
Toten
Toten is a traditional rural district in eastern Norway known for its agriculture and scenic landscape, located within Innlandet county.
-
D.
Lychpit
Lychpit is a residential area and suburb of Basingstoke in Hampshire, England, known for its modern housing estates and proximity to local amenities.
-
E.
Lucusse
Lucusse is a town and municipality in eastern Angola, known historically as a site of conflict during the Angolan Civil War.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a888e8481909386009b9603e4d3 |
completed | April 10, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e87953088190b72d0afeb9251535 |
completed | April 21, 2026, 3:01 a.m. |
Created at: April 8, 2026, 9:37 p.m.