Triple
T23244708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hippolochus |
E581554
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Antenorë
Antenorë is a figure from Greek mythology, traditionally known as a Trojan elder and counselor during the Trojan War.
|
E1576304
|
NE FINISHED |
How this triple was built (4 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: Antenorë | Statement: [Hippolochus, mother, Antenorë]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antenorë Context triple: [Hippolochus, mother, Antenorë]
-
A.
Delvinë
Delvinë is a small historic town in southern Albania known for its diverse cultural heritage and scenic setting near the Greek border.
-
B.
Tepelenë
Tepelenë is a small town in southern Albania, known historically as the birthplace of Ottoman Albanian ruler Ali Pasha and for its strategic position near the Vjosa River.
-
C.
Palasë
Palasë is a coastal village in southern Albania known for its scenic beaches, clear Ionian waters, and proximity to the Llogara Pass.
-
D.
Himarë
Himarë is a coastal town in southern Albania known for its beaches, historic stone villages, and prominent role as a tourist hub on the Ionian Sea.
-
E.
Vurës
Vurës is an Oceanic language spoken on the island of Vanua Lava in northern Vanuatu.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Antenorë Triple: [Hippolochus, mother, Antenorë]
Generated description
Antenorë is a figure from Greek mythology, traditionally known as a Trojan elder and counselor during the Trojan War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Antenorë Target entity description: Antenorë is a figure from Greek mythology, traditionally known as a Trojan elder and counselor during the Trojan War.
-
A.
Delvinë
Delvinë is a small historic town in southern Albania known for its diverse cultural heritage and scenic setting near the Greek border.
-
B.
Tepelenë
Tepelenë is a small town in southern Albania, known historically as the birthplace of Ottoman Albanian ruler Ali Pasha and for its strategic position near the Vjosa River.
-
C.
Palasë
Palasë is a coastal village in southern Albania known for its scenic beaches, clear Ionian waters, and proximity to the Llogara Pass.
-
D.
Himarë
Himarë is a coastal town in southern Albania known for its beaches, historic stone villages, and prominent role as a tourist hub on the Ionian Sea.
-
E.
Vurës
Vurës is an Oceanic language spoken on the island of Vanua Lava in northern Vanuatu.
- F. None of above. chosen
Provenance (5 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193ee37c8819091f799506fa532da |
completed | April 29, 2026, 5:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f624cfc81908be70a8887890449 |
completed | May 19, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_6a0c405be1188190b6622665e448bbe7 |
completed | May 19, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c40bece448190bb9fd1a3058a1f06 |
completed | May 19, 2026, 10:51 a.m. |
Created at: April 17, 2026, 4:10 p.m.