Triple
T19980548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Launcelot Gobbo |
E493804
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Old Gobbo |
—
|
NE NERFINISHED |
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: Old Gobbo | Statement: [Launcelot Gobbo, hasRelative, Old Gobbo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Gobbo Context triple: [Launcelot Gobbo, hasRelative, Old Gobbo]
-
A.
Launcelot Gobbo
Launcelot Gobbo is a comic servant character in Shakespeare’s play "The Merchant of Venice," known for his humorous wordplay and conflicted loyalties.
-
B.
Christopher Sly
Christopher Sly is a drunken tinker who appears in the Induction of Shakespeare’s comedy "The Taming of the Shrew," where he is the gullible subject of an elaborate practical joke.
-
C.
Gobbo
Gobbo is a mischievous goblin character who serves as one of the main troublemaking antagonists in Enid Blyton’s Noddy stories.
-
D.
Gobbo
chosen
Gobbo is the surname of Launcelot Gobbo, a comic servant character in William Shakespeare’s play "The Merchant of Venice."
-
E.
Brighella
Brighella is a cunning, roguish servant character from the Italian commedia dell’arte tradition, often portrayed as Harlequin’s sly and scheming counterpart.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d12d968819081e315ec4585cd9f |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:28 p.m.