Triple
T17333765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephanie Forrester |
E420881
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Forrester |
E1240032
|
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: Forrester | Statement: [Stephanie Forrester, familyName, Forrester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forrester Context triple: [Stephanie Forrester, familyName, Forrester]
-
A.
Forrester
Forrester is a masculine given name of English origin, traditionally meaning “forest keeper” or “woodsman.”
-
B.
Forrester
chosen
Forrester is the prominent fashion-industry family at the center of the long-running American soap opera "The Bold and the Beautiful."
-
C.
Unisys
Unisys is an American global information technology company known for providing IT services, software, and infrastructure solutions to government and commercial clients.
-
D.
Sostrata
Sostrata is a character in Niccolò Machiavelli’s comedic play "The Mandrake," depicted as the mother of Lucrezia and a figure entangled in the play’s schemes surrounding fertility and deception.
-
E.
Perot Systems
Perot Systems was an American information technology services and consulting company founded by Ross Perot that provided outsourcing, systems integration, and technology solutions to businesses and governments worldwide.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a106df48190a50f96febc13cde7 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c5205088190aa724873c6296b1e |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:43 a.m.