Triple
T607013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peloponnesian War |
E12015
|
entity |
| Predicate | notableCommander |
P1197
|
FINISHED |
| Object |
Lysander
Lysander was a prominent Spartan naval commander whose leadership was crucial in securing Sparta’s victory over Athens at the end of the Peloponnesian War.
|
E76031
|
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: Lysander | Statement: [Peloponnesian War, notableCommander, Lysander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lysander Context triple: [Peloponnesian War, notableCommander, Lysander]
-
A.
Theseus
Theseus is a legendary hero of Greek mythology best known for slaying the Minotaur and serving as the mythical king and unifier of Athens.
-
B.
Oberon
Oberon is a rural town in New South Wales, Australia, known for its cool climate, timber industry, and proximity to Jenolan Caves and the Blue Mountains.
-
C.
Oberon
Oberon is a modular, type-safe systems programming language designed by Niklaus Wirth as a streamlined successor to Pascal and Modula-2, emphasizing simplicity and efficiency.
-
D.
Cupid
Cupid is one of Santa Claus’s traditional flying reindeer, typically depicted pulling his sleigh on Christmas Eve.
-
E.
Cupid
Cupid is the Roman god of love and desire, traditionally depicted as a winged boy whose arrows cause people to fall in love.
- 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: Lysander Triple: [Peloponnesian War, notableCommander, Lysander]
Generated description
Lysander was a prominent Spartan naval commander whose leadership was crucial in securing Sparta’s victory over Athens at the end of the Peloponnesian War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lysander Target entity description: Lysander was a prominent Spartan naval commander whose leadership was crucial in securing Sparta’s victory over Athens at the end of the Peloponnesian War.
-
A.
Theseus
Theseus is a legendary hero of Greek mythology best known for slaying the Minotaur and serving as the mythical king and unifier of Athens.
-
B.
Oberon
Oberon is a rural town in New South Wales, Australia, known for its cool climate, timber industry, and proximity to Jenolan Caves and the Blue Mountains.
-
C.
Oberon
Oberon is a modular, type-safe systems programming language designed by Niklaus Wirth as a streamlined successor to Pascal and Modula-2, emphasizing simplicity and efficiency.
-
D.
Cupid
Cupid is one of Santa Claus’s traditional flying reindeer, typically depicted pulling his sleigh on Christmas Eve.
-
E.
Cupid
Cupid is the Roman god of love and desire, traditionally depicted as a winged boy whose arrows cause people to fall in love.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49dc9243881909a7a706797fe147f |
completed | March 1, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a529240e7481908a763a7699b9d478 |
completed | March 2, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69a52a94984c81909afefc60f26ebc13 |
completed | March 2, 2026, 6:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a52b59eb148190a413fa0b314f1eef |
completed | March 2, 2026, 6:16 a.m. |
Created at: March 1, 2026, 7:35 p.m.