Triple
T14454114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Mehta |
E358408
|
entity |
| Predicate | speaksAt |
P10206
|
FINISHED |
| Object |
SaaStr Annual
SaaStr Annual is a major annual conference focused on software-as-a-service (SaaS) businesses, bringing together founders, executives, investors, and operators for talks, networking, and industry insights.
|
E1101471
|
NE FINISHED |
How this triple was built (4 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: SaaStr Annual | Statement: [Nick Mehta, speaksAt, SaaStr Annual]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SaaStr Annual Context triple: [Nick Mehta, speaksAt, SaaStr Annual]
-
A.
SAASS
SAASS is a U.S. Air Force graduate-level school that provides advanced professional military education focused on air, space, and cyber power strategy.
-
B.
SAA
SAA is the National Rail station code for St Albans Abbey railway station in Hertfordshire, England.
-
C.
SAA
SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
-
D.
SAA
The SAA is the main military force of the Syrian Arab Republic, responsible for land-based defense and combat operations.
-
E.
Saasbee, Inc.
Saasbee, Inc. was the original corporate name of Zoom Video Communications, the company behind the widely used Zoom video conferencing platform.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SaaStr Annual Triple: [Nick Mehta, speaksAt, SaaStr Annual]
Generated description
SaaStr Annual is a major annual conference focused on software-as-a-service (SaaS) businesses, bringing together founders, executives, investors, and operators for talks, networking, and industry insights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SaaStr Annual Target entity description: SaaStr Annual is a major annual conference focused on software-as-a-service (SaaS) businesses, bringing together founders, executives, investors, and operators for talks, networking, and industry insights.
-
A.
SAASS
SAASS is a U.S. Air Force graduate-level school that provides advanced professional military education focused on air, space, and cyber power strategy.
-
B.
SAA
SAA is the National Rail station code for St Albans Abbey railway station in Hertfordshire, England.
-
C.
SAA
SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
-
D.
SAA
The SAA is the main military force of the Syrian Arab Republic, responsible for land-based defense and combat operations.
-
E.
Saasbee, Inc.
Saasbee, Inc. was the original corporate name of Zoom Video Communications, the company behind the widely used Zoom video conferencing platform.
- F. None of above. chosen
Provenance (5 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a8bf088190abf5fd4f646b8c62 |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd648f56608190b6d55c592c088575 |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd68f6f94881908d878d042f425d2d |
completed | May 8, 2026, 4:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd698aa8e48190b87a2758d7067b61 |
completed | May 8, 2026, 4:41 a.m. |
Created at: April 10, 2026, 1:19 a.m.