Triple
T7346319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thermo Fisher Scientific |
E169389
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
TMO
TMO is the stock ticker symbol for Thermo Fisher Scientific, a leading global provider of scientific instruments, reagents, and laboratory services.
|
E659390
|
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: TMO | Statement: [Thermo Fisher Scientific, tickerSymbol, TMO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TMO Context triple: [Thermo Fisher Scientific, tickerSymbol, TMO]
-
A.
TMTA
TMTA was the stock ticker symbol for Transmeta Corporation, a now-defunct American semiconductor company known for its low-power x86-compatible microprocessors.
-
B.
T-Mo
T-Mo is an American rapper best known as a member of the Atlanta hip hop group Goodie Mob and the larger Dungeon Family collective.
-
C.
TMOK
TMOK is the Turkish National Olympic Committee responsible for organizing Turkey's participation in the Olympic Games and promoting the Olympic movement in the country.
-
D.
TAM
TAM is the standard abbreviation used for the Tampa Tarpons, a Minor League Baseball team based in Tampa, Florida.
-
E.
TM
TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
- 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: TMO Triple: [Thermo Fisher Scientific, tickerSymbol, TMO]
Generated description
TMO is the stock ticker symbol for Thermo Fisher Scientific, a leading global provider of scientific instruments, reagents, and laboratory services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TMO Target entity description: TMO is the stock ticker symbol for Thermo Fisher Scientific, a leading global provider of scientific instruments, reagents, and laboratory services.
-
A.
TMTA
TMTA was the stock ticker symbol for Transmeta Corporation, a now-defunct American semiconductor company known for its low-power x86-compatible microprocessors.
-
B.
T-Mo
T-Mo is an American rapper best known as a member of the Atlanta hip hop group Goodie Mob and the larger Dungeon Family collective.
-
C.
TMOK
TMOK is the Turkish National Olympic Committee responsible for organizing Turkey's participation in the Olympic Games and promoting the Olympic movement in the country.
-
D.
TAM
TAM is the standard abbreviation used for the Tampa Tarpons, a Minor League Baseball team based in Tampa, Florida.
-
E.
TM
TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0f0329c8190a0182e3bf62604e5 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa916ac881909acee8184b71dc85 |
completed | March 28, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69c7fb05966c819089f47be0b9d32cb2 |
completed | March 28, 2026, 4 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fddb63908190a5123ed8d7c9be1f |
completed | March 28, 2026, 4:12 p.m. |
Created at: March 27, 2026, 3:05 p.m.