Triple
T12568407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florian Seiche |
E295531
|
entity |
| Predicate | roleAtHMDGlobal |
P43130
|
FINISHED |
| Object | oversaw global smartphone strategy |
—
|
LITERAL 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: oversaw global smartphone strategy | Statement: [Florian Seiche, roleAtHMDGlobal, oversaw global smartphone strategy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtHMDGlobal Context triple: [Florian Seiche, roleAtHMDGlobal, oversaw global smartphone strategy]
-
A.
underlyingCompanyRole
chosen
Indicates the specific function, position, or responsibility an entity holds within or in relation to a company.
-
B.
roleInAH64
Indicates that an entity has a specific functional role or position in relation to the AH-64 attack helicopter.
-
C.
hasGlobalRole
Indicates that an entity holds a role or permission set that applies across an entire system or domain, rather than being limited to a specific scope or context.
-
D.
roleInProductLine
Indicates the specific functional or organizational role an entity holds within a particular product line.
-
E.
roleInAramco
Indicates that an entity holds or has held a specific role, position, or function within the organization Aramco.
- F. None of above.
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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 11:50 p.m.