Triple
T10479881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Globe Life |
E247142
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
GL
GL is the stock ticker symbol for Globe Life Inc., a U.S.-based life and health insurance company traded on the New York Stock Exchange.
|
E865932
|
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: GL | Statement: [Globe Life, tickerSymbol, GL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GL Context triple: [Globe Life, tickerSymbol, GL]
-
A.
GL
GL is the commonly used abbreviation for GroenLinks, a Dutch green-left political party focused on environmentalism, social justice, and progressive policies.
-
B.
GL
GL is the postcode area in the United Kingdom that covers Cheltenham and surrounding parts of Gloucestershire.
-
C.
GU
GU is an alternative name or abbreviation for the Gated Recurrent Unit, a type of recurrent neural network architecture used in deep learning for sequence modeling tasks.
-
D.
GU
GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
-
E.
GU
GU is a United Kingdom postcode area covering Guildford and surrounding parts of Surrey and nearby counties.
- 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: GL Triple: [Globe Life, tickerSymbol, GL]
Generated description
GL is the stock ticker symbol for Globe Life Inc., a U.S.-based life and health insurance company traded on the New York Stock Exchange.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GL Target entity description: GL is the stock ticker symbol for Globe Life Inc., a U.S.-based life and health insurance company traded on the New York Stock Exchange.
-
A.
GL
GL is the commonly used abbreviation for GroenLinks, a Dutch green-left political party focused on environmentalism, social justice, and progressive policies.
-
B.
GL
GL is the postcode area in the United Kingdom that covers Cheltenham and surrounding parts of Gloucestershire.
-
C.
GU
GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
-
D.
GU
GU is a United Kingdom postcode area covering Guildford and surrounding parts of Surrey and nearby counties.
-
E.
GU
GU is an alternative name or abbreviation for the Gated Recurrent Unit, a type of recurrent neural network architecture used in deep learning for sequence modeling tasks.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5095b2ec881909e1220d83e750a75 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a02aa2748190902f5c08afd7dda9 |
completed | April 10, 2026, 7 a.m. |
| NEDg | Description generation | batch_69d8a2f4bbec8190a5c508c6431d71b2 |
completed | April 10, 2026, 7:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8aff34c7081909c3504e00f56d9ec |
completed | April 10, 2026, 8:08 a.m. |
Created at: April 6, 2026, 12:22 p.m.