Triple
T15403331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janet Waldo |
E368382
|
entity |
| Predicate | characterVoiced |
P13156
|
FINISHED |
| Object | Penelope Pitstop |
E923043
|
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: Penelope Pitstop | Statement: [Janet Waldo, characterVoiced, Penelope Pitstop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penelope Pitstop Context triple: [Janet Waldo, characterVoiced, Penelope Pitstop]
-
A.
Penelope Pitstop
chosen
Penelope Pitstop is a pink-clad, Southern-belle race car driver and damsel-in-distress heroine from Hanna-Barbera’s classic cartoon series.
-
B.
Penelope Taynt
Penelope Taynt is a fictional, obsessively devoted fan character and comedic stalker of Amanda Bynes on the Nickelodeon sketch comedy series "The Amanda Show."
-
C.
Lola
"Lola" is a 1970 rock song by The Kinks, famous for its catchy melody and narrative about a romantic encounter that plays with themes of gender identity and ambiguity.
-
D.
Lola
Lola is the seductive, devilish femme fatale character in the musical "Damn Yankees," known for her show-stopping number "Whatever Lola Wants."
-
E.
Lola
Lola is a character featured in the musical "The Origin of Love," likely serving as a significant figure within its narrative about love and identity.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8ea0ac8190a5c68b1951ad3db1 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13584f8881908b2527c51f85ae28 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:19 a.m.