Triple
T8156807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laertes |
E190470
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Polonius |
E190469
|
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: Polonius | Statement: [Laertes, father, Polonius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polonius Context triple: [Laertes, father, Polonius]
-
A.
Polonius
chosen
Polonius is a verbose and meddling courtier in Shakespeare’s tragedy "Hamlet," serving as the king’s advisor and the father of Laertes and Ophelia.
-
B.
Rosencrantz
Rosencrantz is a minor courtier and former schoolmate of Prince Hamlet who, along with Guildenstern, is used by King Claudius to spy on Hamlet in Shakespeare’s tragedy "Hamlet."
-
C.
Guildenstern
Guildenstern is a minor courtier and former schoolmate of Prince Hamlet in Shakespeare’s tragedy, often portrayed alongside Rosencrantz as a somewhat foolish pawn of King Claudius.
-
D.
Laertes
Laertes is a figure in Greek mythology best known as the aging king of Ithaca and the father of the hero Odysseus in Homer's Odyssey.
-
E.
Laertes
Laertes is a character in William Shakespeare's tragedy "Hamlet," known as Polonius's son who seeks revenge against Prince Hamlet for his father's death.
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44d8a37481909397b5cc321b94be |
completed | March 31, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3471def08190a221e92fc4a2e9d7 |
completed | April 1, 2026, 3:06 p.m. |
Created at: March 30, 2026, 5:37 p.m.