Triple
T19036608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarzan |
E465887
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Korak |
—
|
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: Korak | Statement: [Tarzan, child, Korak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korak Context triple: [Tarzan, child, Korak]
-
A.
Korak
chosen
Korak is the jungle-raised son of Tarzan and Jane, known for following in his father's adventurous and feral footsteps throughout Edgar Rice Burroughs' Tarzan series.
-
B.
Zorok
Zorok is a beer brand produced by Asia Pacific Breweries, known for its presence in select Asian markets.
-
C.
Arkel
Arkel is the elderly, blind King of Allemonde in Claude Debussy’s opera "Pelléas et Mélisande," embodying wisdom and tragic resignation amid the drama’s unfolding passions.
-
D.
Arkel
Arkel is a small town in the Dutch province of South Holland, known for its historic village character and location near the river Linge.
-
E.
Korugar
Korugar is a fictional planet in the DC Comics universe best known as the authoritarian-ruled homeworld of the former Green Lantern and later villain Sinestro.
- 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.