Triple
T15988131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabitha Lenox |
E387751
|
entity |
| Predicate | hasCompanion |
P22642
|
FINISHED |
| Object | Timmy |
E1187447
|
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: Timmy | Statement: [Tabitha Lenox, hasCompanion, Timmy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timmy Context triple: [Tabitha Lenox, hasCompanion, Timmy]
-
A.
Timmy
Timmy is the loyal dog who accompanies the Famous Five on their adventures in Enid Blyton’s classic children’s novel "Five on a Treasure Island."
-
B.
Timmy
chosen
Timmy is the loyal doll-like sidekick and companion of the witch Tabitha Lenox in the soap opera "Passions."
-
C.
Timothy
"Timothy" is a 1970s pop-rock song by The Buoys, best known for its controversial lyrics that imply cannibalism among trapped miners.
-
D.
Timothy
Timothy is the given first name of former professional basketball player and current sports analyst Tim Legler.
-
E.
Timothy
Timothy is the full given name of Tim Rice, the renowned English lyricist known for his collaborations on hit musicals and films such as "Jesus Christ Superstar," "Evita," and "The Lion King."
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15781d590819096f7361ca9736721 |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbc8a8a081908ac1b431f524d650 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:54 a.m.