Triple
T3449483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Comfort Tiffany |
E72758
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tiffany |
E51374
|
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: Tiffany | Statement: [Louis Comfort Tiffany, familyName, Tiffany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiffany Context triple: [Louis Comfort Tiffany, familyName, Tiffany]
-
A.
Tiffany
chosen
Tiffany is a feminine given name of Greek origin, commonly associated with the feast of Epiphany and used in various English-speaking countries.
-
B.
Tiffany & Co.
Tiffany & Co. is a renowned American luxury jewelry and specialty retailer famous for its diamond engagement rings, sterling silver, and iconic blue boxes.
-
C.
Tiffany Case
Tiffany Case is a fictional diamond smuggler and Bond girl who appears as a major character in Ian Fleming’s James Bond story "Diamonds Are Forever."
-
D.
Alexandra Strauss
Alexandra Strauss is a literary editor known for her work shaping and refining the text of *The Tale*.
-
E.
Sunshine Doré
Sunshine Doré is a character from the dark comedy film "Harold and Maude," featured in the story’s exploration of unconventional relationships and existential themes.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba71f4a4819089d08b871cc9b16f |
completed | March 8, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360eb7ad08190865e62228365d530 |
completed | March 13, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:16 p.m.