Triple
T12207135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ServiceNow, Inc. |
E290864
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Glidesoft, Inc. |
E290863
|
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: Glidesoft, Inc. | Statement: [ServiceNow, Inc., formerName, Glidesoft, Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glidesoft, Inc. Context triple: [ServiceNow, Inc., formerName, Glidesoft, Inc.]
-
A.
Glidesoft, Inc.
chosen
Glidesoft, Inc. was the original name of ServiceNow, the cloud-based IT service management company founded by Fred Luddy.
-
B.
Shapeware Corporation
Shapeware Corporation was the original software company that created the diagramming application later known as Microsoft Visio.
-
C.
Inprise Corporation
Inprise Corporation was the temporary name used by software company Borland during a late-1990s rebranding focused on enterprise solutions.
-
D.
Syntrillium Software
Syntrillium Software was a software company best known for creating the audio editing program Cool Edit, which later evolved into Adobe Audition after Adobe acquired the firm.
-
E.
Guidance Software
Guidance Software was a cybersecurity company best known for its EnCase digital forensics and endpoint security solutions used by enterprises and law enforcement agencies.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c7d8f5c8190a46e9caa2a920fa9 |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a9ae3d48190a220ccd37ce8d3e7 |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:51 p.m.