Triple
T17904537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wade Tillman |
E447667
|
entity |
| Predicate | alterEgoOf |
P41555
|
FINISHED |
| Object | Looking Glass |
—
|
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: Looking Glass | Statement: [Wade Tillman, alterEgoOf, Looking Glass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Looking Glass Context triple: [Wade Tillman, alterEgoOf, Looking Glass]
-
A.
Looking Glass
Looking Glass was a prominent Nez Perce leader and war chief who played a key strategic role during the Nez Perce War of 1877.
-
B.
Looking Glass
chosen
Looking Glass is a masked vigilante and member of Tulsa's police force in the HBO series "Watchmen," known for his reflective mask and keen interrogative skills.
-
C.
Looking Glass
"Looking Glass" is a song by the American rock band Radio.
-
D.
Looking Glass
Looking Glass is the callsign for the U.S. Navy’s Boeing E-6 Mercury aircraft that serves as an airborne command post for nuclear command and control operations.
-
E.
The Glasses
The Glasses is likely a component or segment of the larger work "Men and Cartoons," possibly a short story or chapter within that collection.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9a9cfc8190879fc36dfdeb562b |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.