Triple
T19036597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarzan |
E465887
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Lord Greystoke |
—
|
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: Lord Greystoke | Statement: [Tarzan, title, Lord Greystoke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lord Greystoke Context triple: [Tarzan, title, Lord Greystoke]
-
A.
Lord Greystoke
chosen
Lord Greystoke is the aristocratic alter ego of Tarzan, the jungle hero created by Edgar Rice Burroughs.
-
B.
barony of Greystoke
The barony of Greystoke was a significant medieval English feudal barony and territorial lordship in Cumberland, later associated with the powerful Dacre family.
-
C.
Lorna Doone
Lorna Doone is a historical romance novel set in 17th-century Exmoor, England, renowned for its blend of adventure, pastoral detail, and tragic love story.
-
D.
Lord of Courtenay
Lord of Courtenay was a noble title held by members of the medieval French House of Courtenay, associated with their seigneurial lordship and territorial authority.
-
E.
Ranger of Windsor Forest
The Ranger of Windsor Forest was a prestigious royal appointment responsible for overseeing and managing Windsor Forest and its hunting grounds on behalf of the British monarch.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d744b39881909334a80a4c15000b |
completed | April 20, 2026, 7:35 a.m. |
Created at: April 10, 2026, 12:02 p.m.