Triple
T19801953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitch Pileggi |
E475701
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Tarzan (2003 TV series) |
—
|
NE NERFINISHED |
How this triple was built (3 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: Tarzan (2003 TV series) | Statement: [Mitch Pileggi, appearedIn, Tarzan (2003 TV series)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarzan (2003 TV series) Context triple: [Mitch Pileggi, appearedIn, Tarzan (2003 TV series)]
-
A.
Tarzan (1999 film)
Tarzan (1999 film) is a 1999 Disney animated feature that adapts Edgar Rice Burroughs’ jungle hero into a musical adventure about a man raised by gorillas who must choose between the world of humans and the family that raised him.
-
B.
The Legend of Tarzan (animated series)
The Legend of Tarzan is an animated television series that continues Disney’s adaptation of Edgar Rice Burroughs’ jungle hero, following Tarzan’s adventures as protector of the jungle alongside Jane and their animal friends.
-
C.
Tarzan (2013 film)
Tarzan (2013 film) is a 2013 computer-animated action-adventure adaptation of Edgar Rice Burroughs' classic jungle hero story, featuring Kellan Lutz as the voice of Tarzan.
-
D.
Tarzan: Return to Pal-ul-don
Tarzan: Return to Pal-ul-don is a pulp adventure novel that continues Edgar Rice Burroughs’ Tarzan saga, sending the jungle hero back to the prehistoric land of Pal-ul-don.
-
E.
Tarzan and the Lost Empire
"Tarzan and the Lost Empire" is an adventure novel by Edgar Rice Burroughs in which Tarzan discovers a hidden remnant of ancient Roman civilization deep in Africa.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tarzan (2003 TV series) Target entity description: Tarzan (2003 TV series) is a short-lived modern-day television adaptation of the classic Edgar Rice Burroughs character, set in New York City and aired on The WB in 2003.
-
A.
Tarzan (1999 film)
Tarzan (1999 film) is a 1999 Disney animated feature that adapts Edgar Rice Burroughs’ jungle hero into a musical adventure about a man raised by gorillas who must choose between the world of humans and the family that raised him.
-
B.
The Legend of Tarzan (animated series)
The Legend of Tarzan is an animated television series that continues Disney’s adaptation of Edgar Rice Burroughs’ jungle hero, following Tarzan’s adventures as protector of the jungle alongside Jane and their animal friends.
-
C.
Tarzan (2013 film)
Tarzan (2013 film) is a 2013 computer-animated action-adventure adaptation of Edgar Rice Burroughs' classic jungle hero story, featuring Kellan Lutz as the voice of Tarzan.
-
D.
Tarzan: Return to Pal-ul-don
Tarzan: Return to Pal-ul-don is a pulp adventure novel that continues Edgar Rice Burroughs’ Tarzan saga, sending the jungle hero back to the prehistoric land of Pal-ul-don.
-
E.
Tarzan and the Lost Empire
"Tarzan and the Lost Empire" is an adventure novel by Edgar Rice Burroughs in which Tarzan discovers a hidden remnant of ancient Roman civilization deep in Africa.
- F. None of above. chosen
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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654257cb4819096fb2aa5d1f7fbb0 |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:49 p.m.