Triple
T272676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Hat |
E5668
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
RHT
RHT is the former stock ticker symbol for Red Hat, a leading open-source software company best known for its enterprise Linux operating system and related technologies.
|
E35368
|
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: RHT | Statement: [Red Hat, tickerSymbol, RHT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RHT Context triple: [Red Hat, tickerSymbol, RHT]
-
A.
RTN
RTN is the former stock ticker symbol for Raytheon Company, a major U.S. defense and aerospace contractor.
-
B.
TH
TH is the two-letter ISO 3166-1 alpha-2 country code assigned to Thailand for international standardization and identification.
-
C.
HTI
HTI is the three-letter ISO 3166-1 alpha-3 country code assigned to Haiti for international standardization and identification.
-
D.
RTA
RTA is the common abbreviation for the Regional Transportation Authority of Northeastern Illinois, the agency that oversees public transit services in the Chicago metropolitan area.
-
E.
RAE
RAE is the commonly used acronym for the Royal Spanish Academy, the official institution responsible for regulating and overseeing the Spanish language.
- 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: RHT Triple: [Red Hat, tickerSymbol, RHT]
Generated description
RHT is the former stock ticker symbol for Red Hat, a leading open-source software company best known for its enterprise Linux operating system and related technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RHT Target entity description: RHT is the former stock ticker symbol for Red Hat, a leading open-source software company best known for its enterprise Linux operating system and related technologies.
-
A.
RTN
RTN is the former stock ticker symbol for Raytheon Company, a major U.S. defense and aerospace contractor.
-
B.
TH
TH is the two-letter ISO 3166-1 alpha-2 country code assigned to Thailand for international standardization and identification.
-
C.
HTI
HTI is the three-letter ISO 3166-1 alpha-3 country code assigned to Haiti for international standardization and identification.
-
D.
RTA
RTA is the common abbreviation for the Regional Transportation Authority of Northeastern Illinois, the agency that oversees public transit services in the Chicago metropolitan area.
-
E.
RAE
RAE is the commonly used acronym for the Royal Spanish Academy, the official institution responsible for regulating and overseeing the Spanish language.
- 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dcf667c8190a7b8630fe67b9a90 |
completed | Feb. 28, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a38f537f1c8190a59ac4669498a3fc |
completed | March 1, 2026, 12:58 a.m. |
| NEDg | Description generation | batch_69a38fbfac808190b2b551dcbfe6faff |
completed | March 1, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3903779e88190a00c44a522e82022 |
completed | March 1, 2026, 1:02 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.