Triple
T9285804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salesforce Tower |
E223391
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Hines |
E419279
|
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: Hines | Statement: [Salesforce Tower, developer, Hines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hines Context triple: [Salesforce Tower, developer, Hines]
-
A.
Hines
chosen
Hines is a global real estate investment, development, and management firm known for its portfolio of prominent commercial properties.
-
B.
Hines
Hines is a surname most famously associated with Earl Hines, the influential American jazz pianist and bandleader.
-
C.
Hoskins
Hoskins is a surname most notably associated with the late English actor Bob Hoskins, renowned for his roles in films such as "Who Framed Roger Rabbit" and "Mona Lisa."
-
D.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
E.
Hayes
Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0821b1108190b16e9570b09a14de |
completed | April 1, 2026, 11:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b21d8f1081909b2493151fde4a5f |
completed | April 4, 2026, 6:39 a.m. |
Created at: March 30, 2026, 7:35 p.m.